ECCV 2022

1,645 papers

Convolutional Embedding Makes Hierarchical Vision Transformer Stronger

Cong Wang, Hongmin Xu, Xiong Zhang, Li Wang, Zhitong Zheng

ERA: Enhanced Rational Activations

Martin Trimmel, Mihai Zanfir, Richard Hartley, Cristian Sminchisescu

OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses

Robik Shrestha, Kushal Kafle, Christopher Kanan

A Max-Flow Based Approach for Neural Architecture Search

Chao Xue, Xiaoxing Wang, Junchi Yan, Chun-Guang Li

EAutoDet: Efficient Architecture Search for Object Detection

Xiaoxing Wang, Jiale Lin, Juanping Zhao, Xiaokang Yang, Junchi Yan

CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution

Taeho Kim, Yongin Kwon, Jemin Lee, Sangtae Ha

Online Continual Learning with Contrastive Vision Transformer

Zhen Wang, Liu Liu, Yajing Kong, Jiaxian Guo, Dacheng Tao

Gradient-Based Uncertainty for Monocular Depth Estimation

Julia Hornauer, Vasileios Belagiannis

Streamable Neural Fields

Junwoo Cho, Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park

CLOSE: Curriculum Learning on the Sharing Extent towards Better One-Shot NAS

Zixuan Zhou, Xuefei Ning, Yi Cai, Jiashu Han, Yiping Deng

"“This Is My Unicorn, Fluffy”: Personalizing Frozen Vision-Language Representations"

Niv Cohen, Rinon Gal, Eli A. Meirom, Gal Chechik, Yuval Atzmon

Kernel Relative-Prototype Spectral Filtering for Few-Shot Learning

Tao Zhang, Wu Huang

TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot Learning

Haoquan Li, Laoming Zhang, Daoan Zhang, Lang Fu, Peng Yang

HM: Hybrid Masking for Few-Shot Segmentation

Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic

Temporal and Cross-Modal Attention for Audio-Visual Zero-Shot Learning

Otniel-Bogdan Mercea, Thomas Hummel, A. Sophia Koepke, Zeynep Akata

Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments

Khoi D. Nguyen, Quoc-Huy Tran, Khoi Nguyen, Binh-Son Hua, Rang Nguyen

Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation

Min Zhang, Siteng Huang, Wenbin Li, Donglin Wang

Improving Few-Shot Learning through Multi-task Representation Learning Theory

Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard

Dual Contrastive Learning with Anatomical Auxiliary Supervision for Few-Shot Medical Image Segmentation

Huisi Wu, Fangyan Xiao, Chongxin Liang

Mutually Reinforcing Structure with Proposal Contrastive Consistency for Few-Shot Object Detection

Tianxue Ma, Mingwei Bi, Jian Zhang, Wang Yuan, Zhizhong Zhang

Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations

Wentao Chen, Zhang Zhang, Wei Wang, Liang Wang, Zilei Wang

Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark

Kibok Lee, Hao Yang, Satyaki Chakraborty, Zhaowei Cai, Gurumurthy Swaminathan

Few-Shot Object Counting and Detection

Thanh Nguyen, Chau Pham, Khoi Nguyen, Minh Hoai

Self-Promoted Supervision for Few-Shot Transformer

Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo

Time-rEversed diffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection

Shan Zhang, Naila Murray, Lei Wang, Piotr Koniusz

Few-Shot Classification with Contrastive Learning

Zhanyuan Yang, Jinghua Wang, Yingying Zhu

Open-World Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding

Quande Liu, Youpeng Wen, Jianhua Han, Chunjing XU, Hang Xu

Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning

Rongkai Ma, Pengfei Fang, Gil Avraham, Yan Zuo, Tianyu Zhu

DNA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment

Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou

Meta-Learning with Less Forgetting on Large-Scale Non-stationary Task Distributions

Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan

Few-Shot Class-Incremental Learning for 3D Point Cloud Objects

Townim Chowdhury, Ali Cheraghian, Sameera Ramasinghe, Sahar Ahmadi, Morteza Saberi

CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition

Shreyank N Gowda, Laura Sevilla-Lara, Frank Keller, Marcus Rohrbach

Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning

Xingping Dong, Jianbing Shen, Ling Shao

Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation

Xinyu Shi, Dong Wei, Yu Zhang, Donghuan Lu, Munan Ning

Doubly Deformable Aggregation of Covariance Matrices for Few-Shot Segmentation

Zhitong Xiong, Haopeng Li, Xiao Xiang Zhu

Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification

Kai Yi, Xiaoqian Shen, Yunhao Gou, Mohamed Elhoseiny

Worst Case Matters for Few-Shot Recognition

Minghao Fu, Yun-Hao Cao, Jianxin Wu

Few-Shot Video Object Detection

Qi Fan, Chi-Keung Tang, Yu-Wing Tai

"On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond"

Yuzhe Yang, Hao Wang, Dina Katabi

Constructing Balance from Imbalance for Long-Tailed Image Recognition

Yue Xu, Yong-Lu Li, Jiefeng Li, Cewu Lu

Adversarial Feature Augmentation for Cross-Domain Few-Shot Classification

Yanxu Hu, Andy J. Ma

tSF: Transformer-Based Semantic Filter for Few-Shot Learning

Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang

Self-Supervision Can Be a Good Few-Shot Learner

Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian

Few-Shot Object Detection with Model Calibration

Qi Fan, Chi-Keung Tang, Yu-Wing Tai

Self-Support Few-Shot Semantic Segmentation

Qi Fan, Wenjie Pei, Yu-Wing Tai, Chi-Keung Tang

Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition

Xinyi Zou, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang

Contrastive Prototypical Network with Wasserstein Confidence Penalty

Haoqing Wang, Zhi-Hong Deng

RRSR:Reciprocal Reference-Based Image Super-Resolution with Progressive Feature Alignment and Selection

Lin Zhang, Xin Li, Dongliang He, Fu Li, Yili Wang

Content-Oriented Learned Image Compression

Meng Li, Shangyin Gao, Yihui Feng, Yibo Shi, Jing Wang

AlphaVC: High-Performance and Efficient Learned Video Compression

Yibo Shi, Yunying Ge, Jing Wang, Jue Mao

Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance

Zhihang Zhong, Xiao Sun, Zhirong Wu, Yinqiang Zheng, Stephen Lin

Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images

Jinjin Gu, Haoming Cai, Chenyu Dong, Ruofan Zhang, Yulun Zhang

Rethinking Video Rain Streak Removal: A New Synthesis Model and a Deraining Network with Video Rain Prior

Shuai Wang, LEI ZHU, Huazhu Fu, Jing Qin, Carola-Bibiane Schönlieb

Transformer with Implicit Edges for Particle-Based Physics Simulation

Yidi Shao, Chen Change Loy, Bo Dai

Zero-Shot Learning for Reflection Removal of Single 360-Degree Image

Byeong-Ju Han, Jae-Young Sim

DRCNet: Dynamic Image Restoration Contrastive Network

Fei Li, Lingfeng Shen, Yang Mi, Zhenbo Li

RAWtoBit: A Fully End-to-End Camera ISP Network

Wooseok Jeong, Seung-Won Jung

TempFormer: Temporally Consistent Transformer for Video Denoising

Mingyang Song, Yang Zhang, Tunç O. Aydın

Image Super-Resolution with Deep Dictionary

Shunta Maeda

Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression

A. Burakhan Koyuncu, Han Gao, Atanas Boev, Georgii Gaikov, Elena Alshina

Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model

Zhiyuan Mao, AJAY JAISWAL, Zhangyang Wang, Stanley H. Chan

Efficient Video Deblurring Guided by Motion Magnitude

Yusheng Wang, Yunfan Lu, Ye Gao, Lin Wang, Zhihang Zhong

GRIT-VLP: Grouped Mini-Batch Sampling for Efficient Vision and Language Pre-training

Jaeseok Byun, Taebaek Hwang, Jianlong Fu, Taesup Moon

D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution

Youwei Li, Haibin Huang, Lanpeng Jia, Haoqiang Fan, Shuaicheng Liu

Style-Guided Shadow Removal

Jin Wan, Hui Yin, Zhenyao Wu, Xinyi Wu, Yanting Liu

Ghost-Free High Dynamic Range Imaging with Context-Aware Transformer

Zhen Liu, Yinglong Wang, Bing Zeng, Shuaicheng Liu

All You Need Is RAW: Defending against Adversarial Attacks with Camera Image Pipelines

Yuxuan Zhang, Bo Dong, Felix Heide

Memory-Augmented Model-Driven Network for Pansharpening

Keyu Yan, man zhou, Li Zhang, Chengjun Xie

RealFlow: EM-Based Realistic Optical Flow Dataset Generation from Videos

Yunhui Han, Kunming Luo, Ao Luo, Jiangyu Liu, Haoqiang Fan

Attention-Aware Learning for Hyperparameter Prediction in Image Processing Pipelines

Haina Qin, Longfei Han, Juan Wang, Congxuan Zhang, Yanwei Li

ARM: Any-Time Super-Resolution Method

Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen

KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution

Jiahong Fu, Hong Wang, Qi Xie, Qian Zhao, Deyu Meng

Learning Discriminative Shrinkage Deep Networks for Image Deconvolution

Pin-Hung Kuo, Jinshan Pan, Shao-Yi Chien, Ming-Hsuan Yang

Towards Real-World HDRTV Reconstruction: A Data Synthesis-Based Approach

Zhen Cheng, Tao Wang, Yong Li, Fenglong Song, Chang Chen

Frequency and Spatial Dual Guidance for Image Dehazing

Hu Yu, Naishan Zheng, man zhou, Jie Huang, Zeyu Xiao

Deep Fourier-Based Exposure Correction Network with Spatial-Frequency Interaction

Jie Huang, Yajing Liu, Feng Zhao, Keyu Yan, Jinghao Zhang

Stripformer: Strip Transformer for Fast Image Deblurring

Fu-Jen Tsai, Yan-Tsung Peng, Yen-yu Lin, Chung-Chi Tsai, Chia-Wen Lin

Perceiving and Modeling Density for Image Dehazing

Tian Ye, Yunchen Zhang, Mingchao Jiang, Liang Chen, Yun Liu

Modeling Mask Uncertainty in Hyperspectral Image Reconstruction

Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao

Compiler-Aware Neural Architecture Search for On-Mobile Real-Time Super-Resolution

Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan

"Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks"

Xiaotao Hu, Jun Xu, Shuhang Gu, Ming-Ming Cheng, Li Liu

Optimizing Image Compression via Joint Learning with Denoising

Ka Leong Cheng, Yueqi Xie, Qifeng Chen

Neural Color Operators for Sequential Image Retouching

Yili Wang, Xin Li, Kun Xu, Dongliang He, Qi Zhang

Spectrum-Aware and Transferable Architecture Search for Hyperspectral Image Restoration

Wei He, Quanming Yao, Naoto Yokoya, Tatsumi Uezato, Hongyan Zhang

Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution

Xiaoyu Dong, Naoto Yokoya, Longguang Wang, Tatsumi Uezato

Learning Degradation Representations for Image Deblurring

Dasong Li, Yi Zhang, Ka Chun Cheung, Xiaogang Wang, Hongwei Qin

Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion

Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma

ART-SS: An Adaptive Rejection Technique for Semi-Supervised Restoration for Adverse Weather-Affected Images

Rajeev Yasarla, Carey E. Priebe, Vishal M. Patel

Rethinking Generic Camera Models for Deep Single Image Camera Calibration to Recover Rotation and Fisheye Distortion

Nobuhiko Wakai, Satoshi Sato, Yasunori Ishii, Takayoshi Yamashita

ERDN: Equivalent Receptive Field Deformable Network for Video Deblurring

Bangrui Jiang, Zhihuai Xie, Zhen Xia, Songnan Li, Shan Liu

Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoiréing

Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Jiajun Shen

Secrets of Event-Based Optical Flow

Shintaro Shiba, Yoshimitsu Aoki, Guillermo Gallego

Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations

Zhilu Zhang, Ruohao Wang, Hongzhi Zhang, Yunjin Chen, Wangmeng Zuo

Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-Ahead Forward Ones

Junyi Li, Xiaohe Wu, Zhenxing Niu, Wangmeng Zuo

Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution

Jie Liang, Hui Zeng, Lei Zhang

Content Adaptive Latents and Decoder for Neural Image Compression

Guanbo Pan, Guo Lu, Zhihao Hu, Dong Xu

ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-Modality Image Fusion

Zhanbo Huang, Jinyuan Liu, Xin Fan, Risheng Liu, Wei Zhong

Event-Guided Deblurring of Unknown Exposure Time Videos

Taewoo Kim, Jeongmin Lee, Lin Wang, Kuk-Jin Yoon

Unfolded Deep Kernel Estimation for Blind Image Super-Resolution

Hongyi Zheng, Hongwei Yong, Lei Zhang

Hourglass Attention Network for Image Inpainting

Ye Deng, Siqi Hui, Rongye Meng, Sanping Zhou, Jinjun Wang