AQD: Towards Accurate Quantized Object Detection, 58. VarifocalNet: An IoU-aware Dense Object Detector, 16. Multi-Stage Aggregated Transformer Network for Temporal Language Localization in Videos, 33. 2. Unbiased Mean Teacher for Cross-Domain Object Detection, 47. MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers, 26. Revamping cross-modal recipe retrieval with hierarchical Transformers and self-supervised learning, Paper: https://www.amazon.science/publications/revamping-cross-modal-recipe-retrieval-with-hierarchical-transformers-and-self-supervised-learning, Code: https://github.com/amzn/image-to-recipe-transformers, 16. Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation, 11. Hierarchical Layout-Aware Graph Convolutional Network for Unified Aesthetics Assessment, Multi-Stage Progressive Image Restoration, Deep Convolutional Dictionary Learning for Image Denoising, SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements, AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries, Multimodal Motion Prediction With Stacked Transformers, LoFTR: Detector-Free Local Feature Matching With Transformers, Radar-Camera Pixel Depth Association for Depth Completion, Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression, Co-Grounding Networks With Semantic Attention for Referring Expression Comprehension in Videos, CASTing Your Model: Learning To Localize Improves Self-Supervised Representations, NeuralRecon: Real-Time Coherent 3D Reconstruction From Monocular Video, Learning Accurate Dense Correspondences and When To Trust Them, Weakly-Supervised Instance Segmentation via Class-Agnostic Learning With Salient Images, Unbiased Mean Teacher for Cross-Domain Object Detection, How2Sign: A Large-Scale Multimodal Dataset for Continuous American Sign Language, Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark, High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network, End-to-End Video Instance Segmentation With Transformers, A Second-Order Approach to Learning With Instance-Dependent Label Noise, Learning a Proposal Classifier for Multiple Object Tracking, SOLD2: Self-Supervised Occlusion-Aware Line Description and Detection, Cycle4Completion: Unpaired Point Cloud Completion Using Cycle Transformation With Missing Region Coding, Neural Prototype Trees for Interpretable Fine-Grained Image Recognition, Robust Point Cloud Registration Framework Based on Deep Graph Matching, Dense Contrastive Learning for Self-Supervised Visual Pre-Training, Learning Temporal Consistency for Low Light Video Enhancement From Single Images, PatchmatchNet: Learned Multi-View Patchmatch Stereo, Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation, COMPLETER: Incomplete Multi-View Clustering via Contrastive Prediction, Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation, GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation, The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures, AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling, Towards Evaluating and Training Verifiably Robust Neural Networks, Spatially-Invariant Style-Codes Controlled Makeup Transfer, Bilateral Grid Learning for Stereo Matching Networks, Omni-Supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning, All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training, PMP-Net: Point Cloud Completion by Learning Multi-Step Point Moving Paths, FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space, FCPose: Fully Convolutional Multi-Person Pose Estimation With Dynamic Instance-Aware Convolutions, BoxInst: High-Performance Instance Segmentation With Box Annotations, Lite-HRNet: A Lightweight High-Resolution Network. Black, Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi, Yicheng Liu, Jinghuai Zhang, Liangji Fang, Qinhong Jiang, Bolei Zhou, Jiaming Sun, Zehong Shen, Yuang Wang, Hujun Bao, Xiaowei Zhou, Yunfei Long, Daniel Morris, Xiaoming Liu, Marcos Castro, Punarjay Chakravarty, Praveen Narayanan, Wanhua Li, Xiaoke Huang, Jiwen Lu, Jianjiang Feng, Jie Zhou, Sijie Song, Xudong Lin, Jiaying Liu, Zongming Guo, Shih-Fu Chang, Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik, Jiaming Sun, Yiming Xie, Linghao Chen, Xiaowei Zhou, Hujun Bao, Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte, Xinggang Wang, Jiapei Feng, Bin Hu, Qi Ding, Longjin Ran, Xiaoxin Chen, Wenyu Liu, Jinhong Deng, Wen Li, Yuhua Chen, Lixin Duan, Amanda Duarte, Shruti Palaskar, Lucas Ventura, Deepti Ghadiyaram, Kenneth DeHaan, Florian Metze, Jordi Torres, Xavier Giro-i-Nieto, Joakim Bruslund Haurum, Thomas B. Moeslund, Yuqing Wang, Zhaoliang Xu, Xinlong Wang, Chunhua Shen, Baoshan Cheng, Hao Shen, Huaxia Xia, Peng Dai, Renliang Weng, Wongun Choi, Changshui Zhang, Zhangping He, Wei Ding, Remi Pautrat, Juan-Ting Lin, Viktor Larsson, Martin R. Oswald, Marc Pollefeys, Xin Wen, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu, Meike Nauta, Ron van Bree, Christin Seifert, Zonghui Guo, Haiyong Zheng, Yufeng Jiang, Zhaorui Gu, Bing Zheng, Kexue Fu, Shaolei Liu, Xiaoyuan Luo, Manning Wang, Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, Lei Li, Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys, Astuti Sharma, Tarun Kalluri, Manmohan Chandraker, Yijie Lin, Yuanbiao Gou, Zitao Liu, Boyun Li, Jiancheng Lv, Xi Peng, Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak, Gu Wang, Fabian Manhardt, Federico Tombari, Xiangyang Ji, Yawei Li, Wen Li, Martin Danelljan, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte, Yichao Yan, Jinpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao, Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra, Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin, Han Deng, Chu Han, Hongmin Cai, Guoqiang Han, Shengfeng He, Bin Xu, Yuhua Xu, Xiaoli Yang, Wei Jia, Yulan Guo, Jingyu Gong, Jiachen Xu, Xin Tan, Haichuan Song, Yanyun Qu, Yuan Xie, Lizhuang Ma, Islam Nassar, Samitha Herath, Ehsan Abbasnejad, Wray Buntine, Gholamreza Haffari, Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu, Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng, Weian Mao, Zhi Tian, Xinlong Wang, Chunhua Shen, Zhi Tian, Chunhua Shen, Xinlong Wang, Hao Chen, Changqian Yu, Bin Xiao, Changxin Gao, Lu Yuan, Lei Zhang, Nong Sang, Jingdong Wang, Malik Boudiaf, Hoel Kervadec, Ziko Imtiaz Masud, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz, Xu Yang, Hanwang Zhang, Guojun Qi, Jianfei Cai, Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen, Felix Wimbauer, Nan Yang, Lukas von Stumberg, Niclas Zeller, Daniel Cremers, Shang-Hua Gao, Qi Han, Zhong-Yu Li, Pai Peng, Liang Wang, Ming-Ming Cheng, Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte, Dan Kondratyuk, Liangzhe Yuan, Yandong Li, Li Zhang, Mingxing Tan, Matthew Brown, Boqing Gong, Li Wang, Liang Du, Xiaoqing Ye, Yanwei Fu, Guodong Guo, Xiangyang Xue, Jianfeng Feng, Li Zhang, Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides, Yiman Zhang, Hanting Chen, Xinghao Chen, Yiping Deng, Chunjing Xu, Yunhe Wang, Stephen Hausler, Sourav Garg, Ming Xu, Michael Milford, Tobias Fischer. Mesh Saliency: An Independent Perceptual Measure or a Derivative of Image Saliency? MobileDets: Searching for Object Detection Architectures for Mobile Accelerators, Paper: https://openaccess.thecvf.com/content/CVPR2021/papers/Xiong_MobileDets_Searching_for_Object_Detection_Architectures_for_Mobile_Accelerators_CVPR_2021_paper.pdf, Code: https://github.com/tensorflow/models/tree/master/research/object_detection, 9. Recovering Scene Details From 3D Lines, Fully Convolutional Networks for Panoptic Segmentation, Prioritized Architecture Sampling With Monto-Carlo Tree Search, T-vMF Similarity for Regularizing Intra-Class Feature Distribution, AGORA: Avatars in Geography Optimized for Regression Analysis, Dense Relation Distillation With Context-Aware Aggregation for Few-Shot Object Detection, End-to-End Human Object Interaction Detection With HOI Transformer, Multi-Shot Temporal Event Localization: A Benchmark, We Are More Than Our Joints: Predicting How 3D Bodies Move, Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE, IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking, Deep Graph Matching Under Quadratic Constraint, Unpaired Image-to-Image Translation via Latent Energy Transport, Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs, LiDAR R-CNN: An Efficient and Universal 3D Object Detector, Region-Aware Adaptive Instance Normalization for Image Harmonization, The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models, Simulating Unknown Target Models for Query-Efficient Black-Box Attacks, Diffusion Probabilistic Models for 3D Point Cloud Generation, BABEL: Bodies, Action and Behavior With English Labels, Learnable Graph Matching: Incorporating Graph Partitioning With Deep Feature Learning for Multiple Object Tracking, Track To Detect and Segment: An Online Multi-Object Tracker, Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging, DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks, Training Generative Adversarial Networks in One Stage, Leveraging Line-Point Consistence To Preserve Structures for Wide Parallax Image Stitching, Robust Multimodal Vehicle Detection in Foggy Weather Using Complementary Lidar and Radar Signals, OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning, Neighborhood Normalization for Robust Geometric Feature Learning, Meta Batch-Instance Normalization for Generalizable Person Re-Identification, Glance and Gaze: Inferring Action-Aware Points for One-Stage Human-Object Interaction Detection, Activate or Not: Learning Customized Activation, Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation, PiCIE: Unsupervised Semantic Segmentation Using Invariance and Equivariance in Clustering, DyCo3D: Robust Instance Segmentation of 3D Point Clouds Through Dynamic Convolution, SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud, A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning, VisualVoice: Audio-Visual Speech Separation With Cross-Modal Consistency, Fair Attribute Classification Through Latent Space De-Biasing, Delving Into Localization Errors for Monocular 3D Object Detection, Nearest Neighbor Matching for Deep Clustering, Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection, On the Difficulty of Membership Inference Attacks, ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks, Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes, Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps, Center-Based 3D Object Detection and Tracking, Searching for Fast Model Families on Datacenter Accelerators, RepVGG: Making VGG-Style ConvNets Great Again, Multi-Institutional Collaborations for Improving Deep Learning-Based Magnetic Resonance Image Reconstruction Using Federated Learning, Rainbow Memory: Continual Learning With a Memory of Diverse Samples, SwiftNet: Real-Time Video Object Segmentation, Contrastive Embedding for Generalized Zero-Shot Learning, CLCC: Contrastive Learning for Color Constancy, SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation, Weakly-Supervised Physically Unconstrained Gaze Estimation, Spatiotemporal Contrastive Video Representation Learning, Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation, Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss, Searching by Generating: Flexible and Efficient One-Shot NAS With Architecture Generator, Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes, Memory-Efficient Network for Large-Scale Video Compressive Sensing, Affordance Transfer Learning for Human-Object Interaction Detection, Encoding in Style: A StyleGAN Encoder for Image-to-Image Translation, Learning by Planning: Language-Guided Global Image Editing, Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation Priors, Exploiting Spatial Dimensions of Latent in GAN for Real-Time Image Editing, Bidirectional Projection Network for Cross Dimension Scene Understanding, RSG: A Simple but Effective Module for Learning Imbalanced Datasets, Amalgamating Knowledge From Heterogeneous Graph Neural Networks, Deep Animation Video Interpolation in the Wild, Semantic Scene Completion via Integrating Instances and Scene In-the-Loop, WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition, PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization, VS-Net: Voting With Segmentation for Visual Localization, HR-NAS: Searching Efficient High-Resolution Neural Architectures With Lightweight Transformers.
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