AAAI 2022

1,624 papers

Dual Attention Networks for Few-Shot Fine-Grained Recognition

Shu-Lin Xu, Faen Zhang, Xiu-Shen Wei, Jianhua Wang

Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval

Rui Xu, Zongyan Han, Le Hui, Jianjun Qian, Jin Xie

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

Qiangeng Xu, Yiqi Zhong, Ulrich Neumann

DIRL: Domain-Invariant Representation Learning for Generalizable Semantic Segmentation

Qi Xu, Liang Yao, Zhengkai Jiang, GUANNAN JIANG, Wenqing Chu

Transcoded Video Restoration by Temporal Spatial Auxiliary Network

Li Xu, Gang He, Jinjia Zhou, Jie Lei, Weiying Xie

Topology-Aware Convolutional Neural Network for Efficient Skeleton-Based Action Recognition

Kailin Xu, Fanfan Ye, Qiaoyong Zhong, Di Xie

Rendering-Aware HDR Environment Map Prediction from a Single Image

Jun-Peng Xu, Chenyu Zuo, Fang-Lue Zhang, Miao Wang

FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration

Hao Xu, Nianjin Ye, Guanghui Liu, Bing Zeng, Shuaicheng Liu

Detailed Facial Geometry Recovery from Multi-View Images by Learning an Implicit Function

Yunze Xiao, Hao Zhu, Haotian Yang, Zhengyu Diao, Xiangju Lu

Attribute-Based Progressive Fusion Network for RGBT Tracking

Yun Xiao, MengMeng Yang, Chenglong Li, Lei Liu, Jin Tang

Learning Quality-Aware Representation for Multi-Person Pose Regression

Yabo Xiao, Dongdong Yu, Xiao Juan Wang, Lei Jin, Guoli Wang

AdaptivePose: Human Parts as Adaptive Points

Yabo Xiao, Xiao Juan Wang, Dongdong Yu, Guoli Wang, Qian Zhang

Video as Conditional Graph Hierarchy for Multi-Granular Question Answering

Junbin Xiao, Angela Yao, Zhiyuan Liu, Yicong Li, Wei Ji

Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation

Aoran Xiao, Jiaxing Huang, Dayan Guan, Fangneng Zhan, Shijian Lu

ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising

Liuyu Xiang, Jundong Zhou, Jirui Liu, Zerun Wang, Haidong Huang

Cross-Domain Collaborative Normalization via Structural Knowledge

Haifeng Xia, Zhengming Ding

Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-Based Super-resolution

bin xia, Yapeng Tian, Yucheng Hang, Wenming Yang, Qingmin Liao

Efficient Non-local Contrastive Attention for Image Super-resolution

bin xia, Yucheng Hang, Yapeng Tian, Wenming Yang, Qingmin Liao

Multi-Centroid Representation Network for Domain Adaptive Person Re-ID

Yuhang Wu, Tengteng Huang, Haotian Yao, Chi Zhang, Yuanjie Shao

Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation

Xinyi Wu, Zhenyao Wu, Yuhang Lu, Lili Ju, Song Wang

Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention

Sitong Wu, Tianyi Wu, Haoru Tan, Guodong Guo

Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation

Shengsen Wu, Liang Chen, Yihang Lou, Yan Bai, Tao Bai

Multi-Modal Answer Validation for Knowledge-Based VQA

Jialin Wu, Jiasen Lu, Ashish Sabharwal, Roozbeh Mottaghi

Learning Token-Based Representation for Image Retrieval

Hui Wu, Min Wang, Wengang Zhou, Yang Hu, Houqiang Li

TDv2: A Novel Tree-Structured Decoder for Offline Mathematical Expression Recognition

Changjie Wu, Jun Du, Yunqing Li, Jianshu Zhang, chen yang

Neural Interferometry: Image Reconstruction from Astronomical Interferometers Using Transformer-Conditioned Neural Fields

Benjamin Wu, Chao Liu, Benjamin Eckart, Jan Kautz

L-CoDe:Language-Based Colorization Using Color-Object Decoupled Conditions

Shuchen Weng, Hao Wu, Zheng Chang, Jiajun Tang, Si Li

Towards Transferable Adversarial Attacks on Vision Transformers

Zhipeng Wei, Jingjing Chen, Micah Goldblum, Zuxuan Wu, Tom Goldstein

Boosting the Transferability of Video Adversarial Examples via Temporal Translation

Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang

Rethinking the Two-Stage Framework for Grounded Situation Recognition

Meng Wei, Long Chen, Wei Ji, Xiaoyu Yue, Tat-Seng Chua

Can Semantic Labels Assist Self-Supervised Visual Representation Learning?

Longhui Wei, Lingxi Xie, Jianzhong He, XIAOPENG ZHANG, Qi Tian

Interact, Embed, and EnlargE: Boosting Modality-Specific Representations for Multi-Modal Person Re-identification

Zi Wang, Chenglong Li, Aihua Zheng, Ran He, Jin Tang

Texture Reformer: Towards Fast and Universal Interactive Texture Transfer

Zhizhong Wang, lei zhao, Haibo Chen, Ailin Li, Zhiwen Zuo

Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding

Zhenzhi Wang, Limin Wang, Tao Wu, Tianhao Li, Gangshan Wu

Low-Light Image Enhancement with Normalizing Flow

Yufei Wang, Renjie Wan, Wenhan Yang, Haoliang Li, Lap-Pui Chau

Learning to Detect 3D Facial Landmarks via Heatmap Regression with Graph Convolutional Network

Yuan Wang, Min Cao, Zhenfeng Fan, Silong Peng

End-to-End Transformer Based Model for Image Captioning

Yiyu Wang, Jungang Xu, Yingfei Sun

Panini-Net: GAN Prior Based Degradation-Aware Feature Interpolation for Face Restoration

Yinhuai Wang, Yujie Hu, Jian Zhang

Anchor DETR: Query Design for Transformer-Based Detector

Yingming Wang, Xiangyu Zhang, Tong Yang, Jian Sun

Privacy-Preserving Face Recognition in the Frequency Domain

Yinggui Wang, Jian Liu, Man Luo, Le Yang, Li Wang

FFNet: Frequency Fusion Network for Semantic Scene Completion

Xuzhi Wang, Di Lin, Liang Wan

Pose-Guided Feature Disentangling for Occluded Person Re-identification Based on Transformer

Tao Wang, Hong Liu, Pinhao Song, Tianyu Guo, Wei Shi

One-Shot Talking Face Generation from Single-Speaker Audio-Visual Correlation Learning

Suzhen Wang, Lincheng Li, Yu Ding, Xin Yu

Detail-Preserving Transformer for Light Field Image Super-resolution

Shunzhou Wang, Tianfei Zhou, Yao Lu, Huijun Di

Category-Specific Nuance Exploration Network for Fine-Grained Object Retrieval

Shijie Wang, Zhihui Wang, Haojie Li, Wanli Ouyang

CQA-Face: Contrastive Quality-Aware Attentions for Face Recognition

Qiangchang Wang, Guodong Guo

Scaled ReLU Matters for Training Vision Transformers

Pichao WANG, xue wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou

Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving

Li Wang, Dong Li, Han Liu, Jinzhang Peng, Lu Tian

Learning Temporally and Semantically Consistent Unpaired Video-to-Video Translation through Pseudo-Supervision from Synthetic Optical Flow

Kaihong Wang, Kumar Akash, Teruhisa Misu

Contrastive Quantization with Code Memory for Unsupervised Image Retrieval

Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia

Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation

Jiacheng Wang, Xiaomeng Li, Yiming Han, Jing Qin, Liansheng Wang

Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation

Hualiang Wang, Huanpeng Chu, Siming FU, Zuozhu Liu, Haoji Hu

UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer

Haonan Wang, Peng Cao, Jiaqi Wang, Osmar R. Zaiane

Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss

Hao Wang, Euijoon Ahn, Jinman Kim

When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism

Guangting Wang, Yucheng Zhao, Chuanxin Tang, Chong Luo, Wenjun Zeng

FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack

Donghua Wang, Tingsong Jiang, Jialiang Sun, Weien Zhou, Zhiqiang Gong

Online-Updated High-Order Collaborative Networks for Single Image Deraining

Cong Wang, Jinshan Pan, Xiao-ming Wu

Active Boundary Loss for Semantic Segmentation

Chi Wang, Yunke Zhang, Miaomiao Cui, Peiran Ren, Yin Yang

MTLDesc: Looking Wider to Describe Better

Changwei Wang, Rongtao Xu, Yuyang Zhang, Shibiao Xu, Weiliang Meng

GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference

Peng Tu, Yawen Huang, Feng Zheng, Zhenyu He, Liujuan Cao

TVT: Three-Way Vision Transformer through Multi-Modal Hypersphere Learning for Zero-Shot Sketch-Based Image Retrieval

Jialin Tian, Xing Xu, Fumin Shen, Yang Yang, Heng Tao Shen

Transfer Learning for Color Constancy via Statistic Perspective

Yuxiang Tang, Xuejing Kang, Chunxiao Li, Zhaowen Lin, Anlong Ming

Not All Voxels Are Equal: Semantic Scene Completion from the Point-Voxel Perspective

Jiaxiang Tang, Xiaokang Chen, Jingbo Wang, Gang Zeng

Sparse MLP for Image Recognition: Is Self-Attention Really Necessary?

Chuanxin Tang, Yucheng Zhao, Guangting Wang, Chong Luo, Wenxuan Xie

Adversarial Bone Length Attack on Action Recognition

Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto

SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal

Zhaoyang Sun, Yaxiong Chen, Shengwu Xiong

Dual Contrastive Learning for General Face Forgery Detection

Ke Sun, Taiping Yao, Shen Chen, Shouhong Ding, Jilin Li

Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning

Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng

Correlation Field for Boosting 3D Object Detection in Structured Scenes

Jianhua Sun, Hao-Shu Fang, Xianghui Zhu, Jiefeng Li, Cewu Lu

Self-Supervised Object Localization with Joint Graph Partition

Yukun Su, Guosheng Lin, Yun Hao, Yiwen Cao, Wenjun Wang

Fully Attentional Network for Semantic Segmentation

Qi Song, Jie Li, Chenghong Li, Hao Guo, Rui Huang

JPV-Net: Joint Point-Voxel Representations for Accurate 3D Object Detection

Nan Song, Tianyuan Jiang, Jian Yao

Iterative Contrast-Classify for Semi-supervised Temporal Action Segmentation

Dipika Singhania, Rahul Rahaman, Angela Yao

Improving Zero-Shot Phrase Grounding via Reasoning on External Knowledge and Spatial Relations

Zhan Shi, Yilin Shen, Hongxia Jin, Xiaodan Zhu

P^3-Net: Part Mobility Parsing from Point Cloud Sequences via Learning Explicit Point Correspondence

Yahao Shi, Xinyu Cao, Feixiang Lu, Bin Zhou

Social Interpretable Tree for Pedestrian Trajectory Prediction

Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng

On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals

Haizhou Shi, Youcai Zhang, Siliang Tang, Wenjie Zhu, Yaqian Li

Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning

Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell

Explainable Survival Analysis with Convolution-Involved Vision Transformer

Yifan Shen, Li Liu, Zhihao Tang, Zongyi Chen, Guixiang Ma

Reliable Inlier Evaluation for Unsupervised Point Cloud Registration

Yaqi Shen, Le Hui, Haobo Jiang, Jin Xie, Jian Yang

Improving Scene Graph Classification by Exploiting Knowledge from Texts

Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp

Information-Theoretic Bias Reduction via Causal View of Spurious Correlation

Seonguk Seo, Joon-Young Lee, Bohyung Han

Reference-Guided Pseudo-Label Generation for Medical Semantic Segmentation

Constantin Marc Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen

Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels

Deepak Babu Sam, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan

Learning from Label Proportions with Prototypical Contrastive Clustering

Laura Elena Cué La Rosa, Dário Augusto Borges Oliveira

Decompose the Sounds and Pixels, Recompose the Events

Varshanth R. Rao, Md Ibrahim Khalil, Haoda Li, Peng Dai, Juwei Lu

Deep Implicit Statistical Shape Models for 3D Medical Image Delineation

Ashwin Raju, Shun Miao, Dakai Jin, Le Lu, Junzhou Huang

TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework Using Self-Supervised Multi-Task Learning

Linhao Qu, Shaolei Liu, Manning Wang, Zhijian Song

Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation

Jie Qin, Jie Wu, Xuefeng Xiao, Lujun Li, Xingang Wang

CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation

Yu Qiao, Jincheng Zhu, Chengjiang Long, Zeyao Zhang, Yuxin Wang

ReX: An Efficient Approach to Reducing Memory Cost in Image Classification

Xuwei Qian, Renlong Hang, Qingshan Liu

Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels

Tao Pu, Tianshui Chen, Hefeng Wu, Liang Lin

Self-Supervised Category-Level 6D Object Pose Estimation with Deep Implicit Shape Representation

Wanli Peng, Jianhang Yan, Hongtao Wen, Yi Sun

Vision Transformers Are Robust Learners

Sayak Paul, Pin-Yu Chen

SyncTalkFace: Talking Face Generation with Precise Lip-Syncing via Audio-Lip Memory

Se Jin Park, Minsu Kim, Joanna Hong, Jeongsoo Choi, Yong Man Ro

Graph-Based Point Tracker for 3D Object Tracking in Point Clouds

Minseong Park, Hongje Seong, Wonje Jang, Euntai Kim

Unsupervised Representation for Semantic Segmentation by Implicit Cycle-Attention Contrastive Learning

Bo Pang, Yizhuo Li, Yifan Zhang, Gao Peng, Jiajun Tang

Less Is More: Pay Less Attention in Vision Transformers

Zizheng Pan, Bohan Zhuang, Haoyu He, Jing Liu, Jianfei Cai

Label-Efficient Hybrid-Supervised Learning for Medical Image Segmentation

Junwen Pan, Qi Bi, Yanzhan Yang, Pengfei Zhu, Cheng Bian

TEACh: Task-Driven Embodied Agents That Chat

Aishwarya Padmakumar, Jesse Thomason, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen