ECCV

Rethinking Confidence Calibration for Failure Prediction

Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu

Comments Accepted to ECCV 2022. Code is available at https://github.com/Impression2805/FMFP

Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance

Chen Tang, Kai Ouyang, Zhi Wang, Yifei Zhu, Yaowei Wang, Wen Ji, Wenwu Zhu

Comments Published on ECCV 2022, code is available on https://github.com/1hunters/LIMPQ

Monocular 3D Object Detection with Depth from Motion

Tai Wang, Jiangmiao Pang, Dahua Lin

Comments ECCV 2022 Oral

Subspace Diffusion Generative Models

Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi Jaakkola

Comments ECCV 2022

Stochastic Bundle Adjustment for Efficient and Scalable 3D Reconstruction

Lei Zhou, Zixin Luo, Mingmin Zhen, Tianwei Shen, Shiwei Li, Zhuofei Huang, Tian Fang, Long Quan

Comments Accepted by ECCV 2020

Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles

Adrian Holzbock, Nicolai Kern, Christian Waldschmidt, Klaus Dietmayer, Vasileios Belagiannis

Comments Accepted for presentation at the 3rd AVVision Workshop at ECCV 2022, October 23, 2022, Tel Aviv, Israel

Journal ref In Computer Vision-ECCV 2022 Workshops: Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part I (pp. 570-584). Cham: Springer Nature Switzerland

GCISG: Guided Causal Invariant Learning for Improved Syn-to-real Generalization

Gilhyun Nam, Gyeongjae Choi, Kyungmin Lee

Comments Accepted to ECCV 2022

Neural Mesh-Based Graphics

Shubhendu Jena, Franck Multon, Adnane Boukhayma

Comments ECCV Workshop 2022 CV4Metaverse. The source code and trained models can be obtained at https://github.com/Shubhendu-Jena/Neural-Mesh-Based-Graphics

Audio-Visual Segmentation

Jinxing Zhou, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong

Comments ECCV 2022; Code is available at https://github.com/OpenNLPLab/AVSBench

Towards Effective and Robust Neural Trojan Defenses via Input Filtering

Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh

Comments Accepted to ECCV 2022

Learning Graph Neural Networks for Image Style Transfer

Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao

Comments Accepted to ECCV 2022

CEN-HDR: Computationally Efficient neural Network for real-time High Dynamic Range imaging

Steven Tel, Barthélémy Heyrman, Dominique Ginhac

Comments Accepted ECCV 2022 AIM Workshop

Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors

Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui

Comments ECCV 2022 (Oral); Project Page: https://sirui-xu.github.io/STARS/

Take One Gram of Neural Features, Get Enhanced Group Robustness

Simon Roburin, Charles Corbière, Gilles Puy, Nicolas Thome, Matthieu Aubry, Renaud Marlet, Patrick Pérez

Comments Long version (Previous version: OOD-CV Workshop @ ECCV 2022)

Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness

Ailin Deng, Shen Li, Miao Xiong, Zhirui Chen, Bryan Hooi

Comments European Conference on Computer Vision 2022

Egocentric Video Task Translation @ Ego4D Challenge 2022

Zihui Xue, Yale Song, Kristen Grauman, Lorenzo Torresani

Comments The technical report of ECCV@2022 Ego4D challenge

Audio-Visual Segmentation with Semantics

Jinxing Zhou, Xuyang Shen, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong

Comments Submitted to TPAMI as a journal extension of ECCV 2022. Jinxing Zhou, Xuyang Shen, and Jianyuan Wang contribute equally to this work. Meng Wang and Yiran Zhong are the corresponding authors. Code is available at https://github.com/OpenNLPLab/AVSBench. Online benchmark is available at http://www.avlbench.opennlplab.cn. arXiv admin note: substantial text overlap with arXiv:2207.05042

Sound Localization by Self-Supervised Time Delay Estimation

Ziyang Chen, David F. Fouhey, Andrew Owens

Comments ECCV 2022

Long-tail Detection with Effective Class-Margins

Jang Hyun Cho, Philipp Krähenbühl

Comments ECCV 2022 Oral. Code is available at https://github.com/janghyuncho/ECM-Loss

Continual 3D Convolutional Neural Networks for Real-time Processing of Videos

Lukas Hedegaard, Alexandros Iosifidis

Comments 22 pages, 9 figures, 7 tables

Journal ref ECCV 2022

Look at Adjacent Frames: Video Anomaly Detection without Offline Training

Yuqi Ouyang, Guodong Shen, Victor Sanchez

Comments Accepted in ECCV 2022 RWS

Compositional Visual Generation with Composable Diffusion Models

Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum

Comments ECCV 2022. First three authors contributed equally. Project website: https://energy-based-model.github.io/Compositional-Visual-Generation-with-Composable-Diffusion-Models/

SITTA: Single Image Texture Translation for Data Augmentation

Boyi Li, Yin Cui, Tsung-Yi Lin, Serge Belongie

Comments Learning from Limited and Imperfect Data (L2ID) Workshop, ECCV 2022

MHR-Net: Multiple-Hypothesis Reconstruction of Non-Rigid Shapes from 2D Views

Haitian Zeng, Xin Yu, Jiaxu Miao, Yi Yang

Comments Accepted to ECCV 2022; code: https://github.com/haitianzeng/MHR-Net

Event-Based Fusion for Motion Deblurring with Cross-modal Attention

Lei Sun, Christos Sakaridis, Jingyun Liang, Qi Jiang, Kailun Yang, Peng Sun, Yaozu Ye, Kaiwei Wang, Luc Van Gool

Comments Accepted by ECCV 2022 as oral presentation

CyberLoc: Towards Accurate Long-term Visual Localization

Liu Liu, Yukai Lin, Xiao Liang, Qichao Xu, Miao Jia, Yangdong Liu, Yuxiang Wen, Wei Luo, Jiangwei Li

Comments MLAD-ECCV 2022

On Biased Behavior of GANs for Face Verification

Sasikanth Kotti, Mayank Vatsa, Richa Singh

Comments Accepted as a Short Paper at Responsible Computer Vision Workshop, ECCV 2022

Patch Similarity Aware Data-Free Quantization for Vision Transformers

Zhikai Li, Liping Ma, Mengjuan Chen, Junrui Xiao, Qingyi Gu

Comments ECCV 2022

Long Movie Clip Classification with State-Space Video Models

Md Mohaiminul Islam, Gedas Bertasius

Comments Accepted by ECCV 2022

StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning

Jinghuan Shang, Kumara Kahatapitiya, Xiang Li, Michael S. Ryoo

Comments Accepted to ECCV 2022. Our code is available at https://github.com/elicassion/StARformer