disco diffusion prompt engineering

Als je echt iets zou weten over het reclamevak praten we verder. Ik blijf toch bij mijn standpunt, niet om dwars te zijn maar omdat ik het gewoon niet zie. IsoFree. Google Pixel 7 Sony WH-1000XM5 Apple iPhone 14 Samsung Galaxy Watch5, 44mm Sonic Frontiers Samsung Galaxy Z Fold4 Insta360 X3 Nintendo Switch Lite, Tweakers vormt samen met Rainguard Water Sealers. Find My Store.. 12 in. would be extremely helpful when it comes to dungeons and finding prices in auction house. IsoFree. for pricing and availability. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Helemaal mee eens, ik heb al een tijdje toegang, en om mooie resultaten te krijgen moet ik vaak tien pogingen doen met het finetunen van de query. Hiermee kunnen gebruikers de AI-tool inzetten om beeldmateriaal te generen dat buiten het canvas van een al bestaande afbeelding valt. Meer details, Dit beperkt het aantal keer dat dezelfde advertentie getoond wordt (frequency capping) en maakt het mogelijk om binnen Tweakers contextuele advertenties te tonen op basis van pagina's die je hebt bezocht. Best-in-class: industry-level engineering, top-notch code quality, lean dependencies, small RAM/VRAM footprint; important bug fixes, feature improvements vs. the original DD5.6. for pricing and availability. Polyurethane HD Tintable White, Gloss Solid Concrete Stain and Sealer Ready-to-use (1-Gallon) Model # PU-0406. Wat ik echter wl voorzie is dat het een nieuwe tool gaat worden in de grafische wereld. diffusion inmiddels is er toch al een DALLE2 waar je ~25 gratis prompt tokens per maand krijgt om prut mee te generaten? You signed in with another tab or window. Die gebruikers genereren volgens het onderzoekslabo via de tool meer dan 2 miljoen beelden per dag. Yunsheng Li (UCSD)*; Yinpeng Chen (Microsoft); Xiyang Dai (Microsoft); DongDong Chen (Microsoft Cloud AI); Mengchen Liu (Microsoft); Pei Yu (); Ying Jin (Microsoft); Lu Yuan (Microsoft); Zicheng Liu (Microsoft); Nuno Vasconcelos (UC San Diego), Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps, Alireza Ganjdanesh (University of Pittsburgh); Shangqian Gao (University of Pittsburgh); Heng Huang (University of Pittsburgh)*, Out-of-Distribution Identification: Let Detector Tell Which I Am Not Sure, Ruoqi Li (SJTU); Chongyang Zhang (Shanghai Jiao Tong University)*; Hao Zhou (Shanghai Jiao Tong University); Chao Shi (Shanghai Jiao Tong University); Yan Luo (Shanghai Jiao Tong University), Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space, Shuo Li (Xidian University); Fang Liu (Xidian University)*; Zehua Hao (Xidian University); Kaibo Zhao (Xidian University); Licheng Jiao (Xidian University), ViP: Unified Certified Detection and Recovery for Patch Attack with Vision Transformers, Junbo Li (UC Santa Cruz); Huan Zhang (UCLA); Cihang Xie (University of California, Santa Cruz)*, Panoramic Vision Transformer for Saliency Detection in 360 Videos, Heeseung Yun (Seoul National University)*; Sehun Lee (Seoul National University); Gunhee Kim (Seoul National University), ActiveNeRF: Learning where to See with Uncertainty Estimation, Xuran Pan (Tsinghua University); Zihang Lai (CMU); Shiji Song (Department of Automation, Tsinghua University); Gao Huang (Tsinghua)*, incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection, Amanda S Rios (University of Southern California; Intel )*; Nilesh A Ahuja (Intel); Ibrahima Ndiour (Intel); Ergin U Genc (Intel); Laurent Itti (University of Southern California); Omesh Tickoo (Intel), BA-Net: Bridge Attention for Deep Convolutional Neural Networks, Yue Zhao (Sun Yat-sen University); Junzhou Chen (Sun Yat-sen University)*; Zhang Zirui (Sun Yat-sen University); Ronghui Zhang (Sun Yat-Sen University), Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images, Jinjin Gu (The University of Sydney)*; Haoming CAI (University of Maryland, College Park); Chenyu Dong (Graduate school at Shenzhen , Tsinghua University); Ruofan Zhang (Tsinghua University); Yulun Zhang (ETH Zurich); Wenming Yang (Tsinghua University); Chun Yuan (Graduate school at ShenZhenTsinghua university), Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance, Zhihang Zhong (The University of Tokyo); Xiao Sun (Microsoft Research Asia); Zhirong Wu (Microsoft Research); Yinqiang Zheng (The University of Tokyo); Stephen Lin (Microsoft Research)*; Imari Sato (National Institute of Informatics), Zero-Shot Attribute Attacks on Fine-Grained Recognition Models, Nasim Shafiee (Northeastern University)*; Ehsan Elhamifar (Northeastern University), Break and Make: Interactive Structural Understanding Using LEGO Bricks, Aaron T Walsman (University of Washington)*; Muru Zhang (University of Washington); Klemen Kotar (Allen Institute for AI); Karthik Desingh (University Washington); Dieter Fox (NVIDIA Research / University of Washington); Ali Farhadi (University of Washington, Allen Institue for AI, Apple), PoserNet: Refining Relative Camera Poses Exploiting Object Detections, Matteo Taiana (Istituto Italiano di Tecnologia)*; Matteo Toso (Istituto Italiano di Tecnologia); Stuart James (Istituto Italiano di Tecnologia (IIT)); Alessio Del Bue (Istituto Italiano di Tecnologia (IIT)), Towards Effective and Robust Neural Trojan Defenses via Input Filtering, Kien Duc Do (Deakin Unviersity)*; Haripriya Harikumar (Deakin University); Hung Le (Deakin University); Dung Nguyen (Deakin University); Truyen Tran (Deakin University); Santu Rana (Deakin University, Australia); Dang Nguyen (Deakin University); Willy Susilo (University of Wollongong); Svetha Venkatesh (Deakin University), View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums, Conghao Wong (Huazhong University of Science and Technology); Beihao Xia (Huazhong University of Science and Technology); Ziming Hong (Huazhong University of Science and Technology); Qinmu Peng (Huazhong University of Science and Technology); Wei Yuan (Huazhong University of Science and Technology); Qiong Cao (JD.com); Yibo Yang (Peking University); Xinge YOU (Huazhong University of Science and Technology)*, Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation, Geon Lee (Yonsei University); Chanho Eom (Yonsei University); Wonkyung Lee (PS Analytics); Hyekang Park (Yonsei University); Bumsub Ham (Yonsei University)*, Rayleigh EigenDirections (REDs): Nonlinear GAN latent space traversals for multidimensional features, Guha Balakrishnan (Rice University)*; Raghudeep Gadde (Amazon); Aleix M Martinez (Amazon); Pietro Perona (Amazon Web Services (AWS)), ActionFormer: Localizing Moments of Actions with Transformers, Chen-Lin Zhang (4Paradigm, Inc); Jianxin Wu (Nanjing University); Yin Li (University of Wisconsin-Madison)*, Theoretical Understanding of the Information Flow on Continual Learning Performance, Joshua J Andle (University of Maine); Salimeh Yasaei Sekeh (University of Maine)*, 3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching, Runyu Mao (Purdue University)*; Chen Bai (Xpeng Motors); yatong an (xm); Fengqing Maggie Zhu (Purdue University, USA); Cheng Lu (Xiaopeng), Pure Transformer with Integrated Experts for Scene Text Recognition, Yew Lee Tan (Nanyang Technological University)*; Wai-Kin Adams Kong (Nanyang Technological University); Jung Jae Kim (I2R), AudioScopeV2: Audio-Visual Attention Architectures for Calibrated Open-Domain On-Screen Sound Separation, Efthymios Tzinis (University of Illinois at Urbana-Champaign); Scott Wisdom (Google)*; Tal Remez (Google); John Hershey (Google), Bridging the Domain Gap towards Generalization in Automatic Colorization, Hyejin Lee (Kookmin University); Daehee Kim (Naver Corp.); Daeun Lee (Korea university); Jinkyu Kim (Korea University); Jaekoo Lee (Kookmin University)*, Learning with Free Object Segments for Long-Tailed Instance Segmentation, Cheng Zhang (Carnegie Mellon University)*; Tai-Yu Pan (The Ohio State University); tianle chen (The Ohio State University); Jike Zhong (The Ohio State University); Wenjin Fu (The Ohio State University); Wei-Lun Chao (The Ohio State University), Rethinking Closed-loop Training for Autonomous Driving, Chris Zhang (Waabi / University of Toronto)*; Runsheng Guo (University of Waterloo); Wenyuan Zeng (Waabi, University of Toronto); Yuwen Xiong (University of Toronto); Binbin Dai (Waabi); Rui Hu (Waabi); Mengye Ren (NYU / Google); Raquel Urtasun (Uber ATG), Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction, YuXuan Liu (Covariant.ai, UC Berkeley)*; Nikhil Mishra (Covariant.ai, UC Berkeley); Maximilian Sieb (Covariant.ai); Fred Shentu (UC Berkeley); Pieter Abbeel (UC Berkeley); Peter Chen (COVARIANT.AI), Learning Regional Purity for Instance Segmentation on 3D Point Clouds, Shichao Dong (Nanyang Technological University)*; Guosheng Lin (Nanyang Technological University); Tzu-Yi HUNG (Delta Research Center), Learning from Unlabeled 3D Environments for Vision-and-Language Navigation, Shizhe Chen (INRIA)*; Pierre-Louis Guhur (Inria); Makarand Tapaswi (Wadhwani AI, IIIT Hyderbad); Cordelia Schmid (Inria/Google); Ivan Laptev (INRIA Paris), A Dataset Generation Framework for Evaluating Megapixel Image Classifiers & their Explanations, Gautam B Machiraju (Stanford University)*; Sylvia Plevritis (Stanford University); Parag Mallick (Stanford University), Sports Video Analysis on Large-Scale Data, Dekun Wu (University of Pittsburgh)*; He Zhao (York University); Xingce Bao (EPFL); Rick Wildes (York University), Jinxing Zhou (Hefei University of Technology); Jianyuan Wang (Chinese University of Hong Kong); Jiayi Zhang (BeiHang University); Weixuan Sun (Australian National University); Jing Zhang (Australian National University); Stan Birchfield (NVIDIA); Dan Guo (Hefei University of Technology); Lingpeng Kong (The University of Hong Kong); Meng Wang (Hefei University of Technology); Yiran Zhong (Australian National University)*, SLiDE: Self-supervised LiDAR De-snowing through Reconstruction Difficulty, Gwangtak Bae (Seoul National University)*; Byungjun Kim (Seoul National University); Seongyong Ahn (Agency for Defense Development); jihong Min (Agency for Defense Development); Inwook Shim (Inha University), On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network, Juseung Yun (KAIST)*; Janghyeon Lee (LG AI Research); Hyounguk Shon (KAIST); Eojindl Yi (KAIST); Seung Hwan Kim (LG AI Research); Junmo Kim (KAIST), IGFormer: Interaction Graph Transformer for Skeleton-based Human Interaction Recognition, Yunsheng Pang (University of Melbourne)*; Qiuhong Ke (Monash University); Hossein Rahmani (Lancaster University); James Bailey (THE UNIVERSITY OF MELBOURNE); Jun Liu (Singapore University of Technology and Design), Pavlo Molchanov (NVIDIA)*; James B Hall (Microsoft Research); Hongxu Yin (NVIDIA ); Nicolo Fusi (Microsoft Research); Jan Kautz (NVIDIA); Arash Vahdat (NVIDIA), A Sketch Is Worth a Thousand Words:Image Retrieval with Text and Sketch, Patsorn Sangkloy (Georgia Institute of Technology)*; Wittawat Jitkrittum (Google Research); Diyi Yang (Georgia Institute of Technology); James Hays (Georgia Institute of Technology, USA), HVC-Net: Unifying Homography, Visibility, and Confidence Learning for Planar Object Tracking, Haoxian Zhang (Tencent)*; Yonggen Ling (Tencent), 3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization, Rui Qiu (Xian Jiaotong-Liverpool University, University of Liverpool); Ming Xu (Xian Jiaotong-Liverpool University)*; Yuyao Yan (Xian Jiaotong-Liverpool University); Jeremy S Smith (University of Liverpool); Xi Yang (Xian Jiaotong Liverpool University ), Masked Siamese Networks for Label-Efficient Learning, Mahmoud Assran (Facebook AI)*; Mathilde Caron (Facebook Artificial Intelligence Research); Ishan Misra (Facebook AI Research); Piotr Bojanowski (Facebook); Florian Bordes (MILA); Pascal Vincent (Facebook FAIR & MILA Universit de Montral); Armand Joulin (Facebook AI Research); Mike Rabbat (Facebook FAIR); Nicolas Ballas (Facebook FAIR), A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation, Wuyang Chen (University of Texas at Austin)*; Xianzhi Du (Google Brain); Fan Yang (Google); Lucas Beyer (Google Brain); Xiaohua Zhai (Google Brain); Tsung-Yi Lin (Google Brain); Huizhong Chen (Google); Jing Li (Google Brain); Xiaodan Song (Google Brain); Zhangyang Wang (University of Texas at Austin); Denny Zhou (Google Brain), A Cloud 3D Dataset and Application-Specific Learned Image Compression in Cloud 3D, Tianyi Liu (The University of Texas at San Antonio)*; Sen He (The University of Texas at San Antonio); Vinodh Kumaran Jayakumar (UTSA); Wei Wang (The University of Texas at San Antonio), Cross-Domain Few-Shot Semantic Segmentation, Shuo Lei (Virginia Tech)*; Xuchao Zhang (NEC Labs America); Jianfeng He (Virginia Tech); Fanglan Chen (Virginia Tech); Bowen Du (Beihang Univeristy); Chang-Tien Lu (Virginia Tech, USA), VizWiz-FewShot: Locating Objects in Images Taken by People With Visual Impairments, Yu-Yun Tseng (University of Colorado Boulder)*; Alexander Bell (IVC Group); Danna Gurari (University of Colorado Boulder), Towards Metrical Reconstruction of Human Faces, Wojciech Zielonka (Max Planck Institute for Intelligent Systems); Timo Bolkart (Max Planck Institute for Intelligent Systems); Justus Thies (Max Planck Institute for Intelligent Systems)*, Asaf Karnieli (Reichman University)*; Yacov Hel-Or (The Interdisciplinary Center); Ohad Fried (IDC Herzliya), Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer, Arjun Ashok (Indian Institute of Technology, Hyderabad)*; Joseph K J (Indian Institute of Technology, Hyderabad); Vineeth N Balasubramanian (Indian Institute of Technology, Hyderabad), Object discovery and representation networks, Olivier Henaff (DeepMind)*; Skanda Koppula (DeepMind); Evan Shelhamer (DeepMind); Daniel Zoran (DeepMind); Andrew Jaegle (DeepMind); Andrew Zisserman (Oxford University); Joao Carreira (DeepMind); Relja Arandjelovi (DeepMind), MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks, Benoit Guillard (EPFL)*; Federico Stella (EPFL); Pascal Fua (EPFL, Switzerland), Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization, Hannah M Schlueter (Imperial College London)*; Jeremy Tan (Imperial College London); Benjamin Hou (Imperial College London); Bernhard Kainz (Imperial College London, FAU Erlangen-Nrnberg), Shap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley Value, Quan Zheng (Tsinghua University); Ziwei Wang (Tsinghua University); Jie Zhou (Tsinghua University); Jiwen Lu (Tsinghua University)*, Simple Open-Vocabulary Object Detection with Vision Transformers, Matthias Minderer (Google Research)*; Alexey Gritsenko (Google Brain); Austin C Stone (Google); Maxim Neumann (Google); Dirk Weienborn (German Research Center for Artificial Intelligence); Alexey Dosovitskiy (Inceptive); Aravindh Mahendran (Google); Anurag Arnab (Google); Mostafa Dehghani (Google Brain); Zhuoran Shen (Pony.ai); Xiao Wang (Google); Xiaohua Zhai (Google Brain); Thomas Kipf (Google Brain); Neil Houlsby (Google), Video Restoration Framework and its Meta-adaptations to Data-poor Conditions, Prashant W Patil (Deakin University)*; Sunil Gupta (Deakin University, Australia); Santu Rana (Deakin University, Australia); Svetha Venkatesh (Deakin University), PRIME: A Few Primitives Can Boost Robustness to Common Corruptions, Apostolos Modas (EPFL)*; Rahul Shekhar Rade (EthonAI); Guillermo Ortiz-Jimenez (EPFL); Seyed-Mohsen Moosavi-Dezfooli (Imperial College London); Pascal Frossard (EPFL), AlphaVC: High-Performance and Efficient Learned Video Compression, Yibo Shi (Huawei); Yunying Ge (Huawei Technologies); Jing Wang (Huawei)*; Jue Mao (Huawei technologies), Content-Oriented Learned Image Compression, Meng Li (Huawei); Shangyin Gao (Huawei); Yihui Feng (HUAWEI Technology Co., Ltd); Yibo Shi (Huawei); Jing Wang (Huawei)*, Generating Natural Images with Direct Patch Distributions Matching, Ariel Elnekave (Hebrew University of Jerusalem)*; Yair Weiss (Hebrew University), Latent Space Smoothing for Individually Fair Representations, Momchil Peychev (ETH Zurich)*; Anian Ruoss (DeepMind); Mislav Balunovic (ETH Zurich); Maximilian Baader (ETH Zrich); Martin Vechev (ETH Zurich), SAU: Smooth activation function using convolution with approximate identities, Koushik Biswas (Indraprastha Institute of Information Technology, New Delhi, India)*; Sandeep Kumar (Shaheed Bhagat Singh College, University of Delhi, Delhi); Shilpak Banerjee (Indian Institute of Technology Tirupati); Ashish Kumar Pandey (Indraprastha Institute of Information Technology, New Delhi, India), TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments, Shubham Dokania (IIIT Hyderabad)*; Anbumani Subramanian (IIIT-Hyderabad); Manmohan Chandraker (UC San Diego); C.V. Jawahar (IIIT-Hyderabad), Motion Sensitive Contrastive Learning for Self-supervised Video Representation, JingCheng Ni (Behang University)*; Nan Zhou (Beihang University); Jie Qin (Nanjing University of Aeronautics and Astronautics); Qian Wu (Megvii); Junqi Liu (Megvii); Boxun Li (Megvii Inc.); Di Huang (Beihang University, China), Scaling Adversarial Training to Large Perturbation Bounds, Sravanti Addepalli (Indian Institute of Science)*; Samyak Jain (Indian Institute of Technology (BHU), Varanasi); Gaurang Sriramanan (University of Maryland, College Park); Venkatesh Babu RADHAKRISHNAN (Indian Institute of Science), RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization, Zhe Wang (Institute for Infocomm Research, Singapore), Camera Auto-calibration from the Steiner Conic of the Fundamental Matrix, Yu LIU (United International College, BNU-HKBU)*; Hui Zhang (UIC), Understanding Collapse in Non-Contrastive Siamese Representation Learning, Alexander C Li (Carnegie Mellon University)*; Alexei A Efros (UC Berkeley); Deepak Pathak (Carnegie Mellon University), AutoTransition: Learning to Recommend Video Transition Effects, Yaojie Shen (Institute of Software, Chinese Academy of Sciences); Libo Zhang (Institute of Software Chinese Academy of Sciences); Kai Xu (ByteDance Inc); Xiaojie Jin (Bytedance Inc. USA)*, SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement, Zhaofan Qiu (JD.com); Yehao Li (JD AI Research); Yu Wang (JD AI Research); Yingwei Pan (JD AI Research); Ting Yao (JD AI Research)*; Tao Mei (AI Research of JD.com), Text-based Temporal Localization of Novel Events, Sudipta Paul (University of California, Riverside)*; Niluthpol C Mithun (SRI International); Amit K. Roy-Chowdhury (University of California, Riverside), Effective Presentation Attack Detection Driven by Face Related Task, Wentian Zhang (Shenzhen University); Haozhe Liu ( King Abdullah University of Science and Technology); Feng Liu (Shenzhen University )*; Raghavendra Ramachandra (NTNU, Norway); Christoph Busch (Norwegian University of Science and Technology), LWGNet Learned Wirtinger Gradients for Fourier Ptychographic Phase Retrieval, Atreyee Saha (Indian Institute of Technology Madras)*; Salman Siddique Khan (IIT Madras); Sagar Sehrawat (IIT Madras); Sanjana S Prabhu (Indian Institute of Technology Madras); Shanti Bhattacharya (IIT Madras); Kaushik Mitra (IIT Madras), Federated Self-supervised Learning for Video Understanding, Yasar Rehman (TCL Corporate Research(Hong Kong) Co. Ltd); Yan Gao (University of Cambridge)*; Jiajun Shen (TCL Research); Pedro Gusmao (University of Cambridge); Nicholas Lane (University of Cambridge and Samsung AI), Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval, Zhaopeng Dou (Tsinghua University)*; Zhongdao Wang (Tsinghua University); Weihua Chen (alibaba group); Ya-Li Li (Tsinghua University); Shengjin Wang (Tsinghua University), The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts, Kai Wang (Brown University)*; Paul Guerrero (Adobe); Vladimir Kim (Adobe); Siddhartha Chaudhuri (Adobe Research); Minhyuk Sung (KAIST); Daniel Ritchie (Brown University), Attention Diversification for Domain Generalization, Rang Meng (Hikvision Research Institute)*; Xianfeng Li (Hikvision Research Institute ); Weijie Chen (Zhejiang University); Shicai Yang (Hikvision Research Institute); Jie Song (Zhejiang University); Xinchao Wang (National University of Singapore); Lei Zhang (Chongqing University); Mingli Song (Zhengjiang University); Di Xie (Hikvision Research Institute); Shiliang Pu (Hikvision Research Institute), Exploiting the local parabolic landscapes of adversarial losses to accelerate black-box adversarial attack, Hoang Tran (Oak Ridge National Laboratory); Dan Lu (Oak Ridge National Laboratory); Guannan Zhang (Oak Ridge National Laboratory)*, Towards Efficient and Effective Self-Supervised Learning of Visual Representations, Sravanti Addepalli (Indian Institute of Science)*; Kaushal Bhogale (Indian Institute of Technology, Madras); Priyam Dey (Indian Institute of Science); Venkatesh Babu RADHAKRISHNAN (Indian Institute of Science), TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot Learning, Haoquan Li (Southern University of Science and Technology)*; Laoming Zhang (Southern University of Science and Technology); Daoan Zhang (Southern University of Science and Technology); Lang Fu (Southern University of Science and Technology); Peng Yang (Southern University of Science and Technology); Jianguo Zhang (Southern University of Science and Technology), Takumi Kobayashi (National Institute of Advanced Industrial Science and Technology)*, Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration, Christian Tomani (TUM)*; Daniel Cremers (TU Munich); Florian Buettner (German Cancer Research Center and Frankfurt University), FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations, Cemre Efe Karakas (Bogazici University); Alara Dirik (Bogazici University); Eyll Yalnkaya (Bogazici University); Pinar Yanardag (Bogazici University)*, Dynamic Temporal Filtering in Video Models, Fuchen Long (JD.com); Zhaofan Qiu (JD.com); Yingwei Pan (JD AI Research)*; Ting Yao (JD AI Research); Chong-Wah Ngo (Singapore Management University); Tao Mei (AI Research of JD.com), DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimation, linzhi huang (Beijing University of Posts and Telecommunications)*; Jiahao Liang (Beijing University of Posts and Telecommunications); Weihong Deng (Beijing University of Posts and Telecommunications), Super-resolution 3D Human Shape from a Single Low-Resolution Image, Marco Pesavento (University of Surrey)*; Marco Volino (University of Surrey); Adrian Hilton (University of Surrey), Trading Positional Complexity vs Deepness in Coordinate Networks, Jianqiao Zheng (University of Adelaide)*; Sameera Ramasinghe (University of Adelaide); Xueqian Li (Carnegie Mellon University); Simon Lucey (University of Adelaide), ESS: Learning Event-based Semantic Segmentation from Still Images, Zhaoning Sun (ETH Zrich); Nico Messikommer (University of Zurich & ETH Zurich)*; Daniel Gehrig (University of Zurich & ETH Zurich); Davide Scaramuzza (University of Zurich & ETH Zurich, Switzerland), U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search, Ahmet Yzgler (EPFL)*; Nikolaos Dimitriadis (EPFL); Pascal Frossard (EPFL), MonteBoxFinder: Detecting and Filtering Primitives to Fit a Noisy Point Cloud, Michal Ramamonjisoa (Ecole des Ponts)*; Sinisa Stekovic (Graz University of Technology); Vincent Lepetit (Ecole des Ponts ParisTech), Trapped in texture bias? Midjourney license - xrcgps.jackyklein.de Chairs: Category-guided 3D shape learning without any 3D cues, Zixuan Huang (Georgia Institute of Technology)*; Stefan Stojanov (Georgia Institute of Technology); Anh Thai (Georgia Institute of Technology); Varun Jampani (Google); James Rehg (Georgia Institute of Technology), ART-SS: An Adaptive Rejection Technique for Semi-Supervised restoration for adverse weather-affected images, Rajeev Yasarla ( AIBEE )*; Carey E Priebe (Johns Hopkins University); Vishal Patel (Johns Hopkins University), Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction, Maosen Li (Cooperative Medianet Innovation Center, Shanghai Jiao Tong University)*; Siheng Chen (Shanghai Jiao Tong University); Zijing Zhang (Zhejiang University); Lingxi Xie (Huawei Inc.); Qi Tian (Huawei Cloud & AI); Ya Zhang (Cooperative Medianet Innovation Center, Shang hai Jiao Tong University), MHR-Net: Multiple-Hypothesis Reconstruction of Non-Rigid Shapes from 2D Views, Haitian Zeng (University of Technology Sydney)*; Xin Yu (University of Technology Sydney); Jiaxu Miao (Zhejiang University); Yi Yang (Zhejiang University), Unifying Event Detection and Captioning as Sequence Generation via Pre-Training, Qi Zhang (Renmin University of China)*; Yuqing Song (Renmin University of China); Qin Jin (Renmin University of China), Depth Map Decomposition for Monocular Depth Estimation, Jinyoung Jun (Korea University)*; Jae-Han Lee (Gauss Labs Inc.); Chul Lee (Dongguk University); Chang-Su Kim (Korea university), Human-centric Image Cropping with Partition-aware and Content-preserving Features, Bo Zhang (Shanghai Jiao Tong University)*; Li Niu (Shanghai Jiao Tong University); Xing Zhao (Shanghai Jiao Tong University); Liqing Zhang (Shanghai Jiao Tong University), Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking, Boyu Chen (The University of Sydney); Peixia Li (The University of Sydney)*; Lei Bai (Shanghai AI Laboratory); Lei Qiao (SenseTime Group Limited); Qiuhong Shen (Harbin Institute of Technology (Shenzhen)); Bo Li (SenseTime Group Limited); Weihao Gan (SenseTime Group Limited); Wei Wu (SenseTime Group Limited); Wanli Ouyang (The University of Sydney), StyleFace: Towards Identity-Disentangled Face Generation on Megapixels, Yuchen Luo (Shanghai Jiao Tong University)*; Junwei Zhu (Tencent); Keke He (Tencent); Wenqing Chu (Tencent); Ying Tai (Tencent YouTu); Junchi Yan (Shanghai Jiao Tong University); Chengjie Wang (Tencent; Shanghai Jiao Tong University), Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion, Pengwei Liang (Harbin Institute of Technology)*; Junjun Jiang (Harbin Institute of Technology); Xianming Liu (Harbin Institute of Technology); Jiayi Ma (Wuhan University), Learning Degradation Representations for Image Deblurring, dasong Li (Chinese University of Hong Kong)*; Yi Zhang (CUHK); Ka Chun Cheung (Nvidia); Xiaogang Wang (Chinese University of Hong Kong, Hong Kong); Hongwei Qin (Sensetime); Hongsheng Li (The Chinese University of Hong Kong), Aware of the History: Trajectory Forecasting with the Local Behavior Data, Yiqi Zhong (University of Southern California)*; Zhenyang Ni (Shanghai Jiao Tong University); Siheng Chen (Shanghai Jiao Tong University); Ulrich Neumann (USC), Divya Kothandaraman (University of Maryland College Park)*; Tianrui Guan (University of Maryland, College Park); Xijun Wang (University of Maryland, College Park); Shuowen Hu (US Army Research Laboratory); Ming C Lin (UMD-CP & UNC-CH ); Dinesh Manocha (University of Maryland at College Park), X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation, Yinan He (Beijing University of Posts and Telecommunications)*; Gengshi Huang (School of Electronics and Information Technology, Sun Yat-sen University); Siyu Chen (Carnegie Mellon University); Jianing Teng (sensetime); Kun Wang (SenseTime Group Limited); Zhenfei Yin (Sensetime); Lu Sheng (Beihang University); Ziwei Liu (Nanyang Technological University); Yu Qiao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Jing Shao (Sensetime), Disentangled Differentiable Network Pruning, Shangqian Gao (University of Pittsburgh)*; Feihu Huang (University of Pittsburgh); Yanfu Zhang (University of Pittsburgh); Heng Huang (University of Pittsburgh), Yunzhi Zhang (Stanford University)*; Jiajun Wu (Stanford University), IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors, Sheng Xu (Beihang University)*; Yanjing Li (Beihang University); Bohan Zeng (Beihang University); Teli Ma (Shanghai Artificial Intelligence Laboratory); Baochang Zhang (Beihang University); Xianbin Cao (Beihang University, China); Peng Gao (Chinese university of hong kong); Jinhu Lu (Beihang University, Beijing, China), Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation, chuang lin (Monash University)*; Yi Jiang (Bytedance); Jianfei Cai (Monash University); Lizhen Qu (Monash University); Reza Haffari (Monash University, Australia); Zehuan Yuan (Bytedance.Inc), DnA: Improving Few-shot Transfer Learning with Low-Rank Decomposition and Alignment, Ziyu Jiang (Texas A&M University)*; Tianlong Chen (Unversity of Texas at Austin); Xuxi Chen (University of Texas at Austin); Yu Cheng (Microsoft Research); Luowei Zhou (Microsoft); Lu Yuan (Microsoft); Ahmed Awadallah (Microsoft); Zhangyang Wang (University of Texas at Austin), Translating a Visual LEGO Manual to a Machine-Executable Plan, Ruocheng Wang (Stanford University)*; Yunzhi Zhang (Stanford University); Jiayuan Mao (MIT); Chin-Yi Cheng (Google Research); Jiajun Wu (Stanford University), Cornerformer: Purifying Instances for Corner-based Detectors, Haoran Wei (University of Chinese Academy of Sciences)*; Xin Chen (Huawei Inc.); Lingxi Xie (Huawei Inc.); Qi Tian (Huawei Cloud & AI), Contributions of Shape, Texture, and Color in Visual Recognition, Yunhao Ge (University of Southern California)*; Yao Xiao (University of Southern California); Zhi Xu (University of Southern California); Xingrui Wang (University of Southern California); Laurent Itti (University of Southern California), Monitored Distillation for Positive Congruent Depth Completion, Tian Yu Liu (UCLA); Parth Agrawal (UCLA); Allison Y Chen (University of California, Los Angeles); Byung-Woo Hong (Chung-Ang University); Alex Wong (Yale University)*, Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian, Zhiwen Cao (Purdue University); Dongfang Liu (Rochester Institute of Technology)*; Qifan Wang (Meta AI); Yingjie Victor Chen (Purdue University), AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration, Bowen Li (Tongji University)*; Chen Wang (Carnegie Mellon University); Pranay Reddy Anthireddy (Indian Institute of Information Technology, Design and Manufacturing, Jabalpur); Seungchan Kim (Carnegie Mellon University); Sebastian Scherer (Carnegie Mellon University), Learning to Weight Samples for Dynamic Early-exiting Networks, Yizeng Han (Tsinghua University); Yifan Pu (Tsinghua University); Zihang Lai (CMU); Chaofei Wang (Tsinghua University); Shiji Song (Department of Automation, Tsinghua University); cao junfeng (CMRI); Wenhui Huang (CMRI); Chao Deng (China Mobile Research Institute); Gao Huang (Tsinghua)*, Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning, K L Navaneet (University of California, Davis); Soroush Abbasi Koohpayegani (University of Maryland Baltimore County)*; Ajinkya B Tejankar (UMBC); Kossar Pourahmadi Meibodi (University of Maryland, Baltimore County); Akshayvarun Subramanya (UMBC); Hamed Pirsiavash (University of California Davis), SLIP: Self-supervision meets Language-Image Pre-training, Norman Mu (University of California, Berkeley)*; Alexander Kirillov (Facebook AI Reserach); David Wagner (UC Berkeley); Saining Xie (Facebook AI Research), Learning Visual Styles from Audio-Visual Associations, Tingle Li (Tsinghua University)*; Yichen Liu (Tsinghua University); Andrew Owens (U Michigan); Hang Zhao (Tsinghua University), Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting, Ying Chen (Hikvision Research Institute); Liang Qiao (Zhejiang University & Hikvision Research Institute)*; Zhanzhan Cheng (Zhejiang University & Hikvision Research Institute); Shiliang Pu (Hikvision Research Institute); Yi Niu (Hikvision Research Institute); Xi Li (Zhejiang University), Prompting Visual-Language Models for Efficient Video Understanding, Chen Ju (Cooperative Medianet Innovation Center, Shang hai Jiao Tong University); Tengda Han (University of Oxford); Kunhao Zheng (Shanghai Jiaotong University); Ya Zhang (Cooperative Medianet Innovation Center, Shang hai Jiao Tong University); Weidi Xie (Shanghai Jiao Tong University)*, Hongje Seong (Yonsei University)*; Seoung Wug Oh (Adobe Research); Brian Price (Adobe); Euntai Kim (Yonsei University); Joon-Young Lee (Adobe Research), Contrastive Learning for Diverse Disentangled Foreground Generation, Yuheng Li (UW Madison)*; Yijun Li (Adobe Research); Jingwan Lu (Adobe Research ); Eli Shechtman (Adobe Research, US); Yong Jae Lee (University of Wisconsin-Madison); Krishna Kumar Singh (Adobe Research), Resolution-free Point Cloud Sampling Network with Data Distillation, Tianxin Huang (Zhejiang University)*; Jiangning Zhang (Zhejiang University); Jun Chen (Zhejiang University); Yuang Liu (Zhejiang University); Yong Liu (Zhejiang University), BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided Adversarial Learning, Changgyoon Oh (KAIST)*; Wonjune Cho (NAVER LABS); Yujeong Chae (KAIST); Daehee Park (KAIST); Lin Wang (HKUST); Kuk-Jin Yoon (KAIST), Augmentation of rPPG Benchmark Datasets: Learning to Remove and Embed rPPG Signals via Double Cycle Consistent Learning from Unpaired Facial Videos, WEI-HAO Chung (National Tsing Hua University)*; CHENG-JU HSIEH (National Tsing Hua University); Chiou-Ting Hsu (National Tsing Hua University), Fabric Material Recovery from Video Using Multi-Scale Geometric Auto-Encoder, Junbang Liang (University of Maryland, College Park)*; Ming C Lin (UMD-CP & UNC-CH ), An Invisible Black-box Backdoor Attack through Frequency Domain, Tong Wang (Nanjing University); Yuan Yao (Nanjing University)*; Feng Xu (Nanjing University); Shengwei An (Purdue University); Hanghang Tong (University of Illinois at Urbana-Champaign); Ting Wang (Penn State), Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution, Xiaoyu Dong (The University of Tokyo / RIKEN AIP); Naoto Yokoya (The University of Tokyo)*; Longguang Wang (National University of Defense Technology); Tatsumi Uezato (Hitachi, Ltd), TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance, Hongtao Wen (Dalian University of Technology); Jianhang Yan (Dalian University of Technology); Wanli Peng (Dalian University of Technology)*; Yi Sun (Dalian University of Technology), Learning Instance and Task-Aware Dynamic Kernels for Few-shot Learning, Rongkai Ma (Monash University)*; Pengfei Fang (The Australian National University); Gil Avraham (Monash University); Yan Zuo (CSIRO); Tianyu Zhu (Monash University); Tom Drummond (University of Melbourne); Mehrtash Harandi (Monash University), PillarNet: Real-Time and High-Performance Pillar-based 3D Object Detection, Guangsheng Shi (Harbin Institute of Technology)*; Ruifeng Li (Harbin Institute of Technology); Chao Ma (Shanghai Jiao Tong University), Robust Object Detection With Inaccurate Bounding Boxes, Chengxin Liu (Huazhong University of Science and Technology); Kewei Wang (Huazhong Univ. 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