ECCV

Classification-Regression for Chart Comprehension

Matan Levy, Rami Ben-Ari, Dani Lischinski

Comments ECCV 2022

Few 'Zero Level Set'-Shot Learning of Shape Signed Distance Functions in Feature Space

Amine Ouasfi, Adnane Boukhayma

Comments ECCV 2022

A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning

Michael Kirchhof, Karsten Roth, Zeynep Akata, Enkelejda Kasneci

Comments Accepted as conference paper at ECCV 2022

Video Dialog as Conversation about Objects Living in Space-Time

Hoang-Anh Pham, Thao Minh Le, Vuong Le, Tu Minh Phuong, Truyen Tran

Comments Accepted to ECCV 2022, code will be available at https://github.com/hoanganhpham1006/COST

Should All Proposals be Treated Equally in Object Detection?

Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Pei Yu, Jing Yin, Lu Yuan, Zicheng Liu, Nuno Vasconcelos

Comments Accepted by ECCV 2022

VecGAN: Image-to-Image Translation with Interpretable Latent Directions

Yusuf Dalva, Said Fahri Altindis, Aysegul Dundar

Comments ECCV 2022

Few-shot Image Generation with Mixup-based Distance Learning

Chaerin Kong, Jeesoo Kim, Donghoon Han, Nojun Kwak

Comments ECCV 2022, 27 pages

DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition

Matej Grcić, Petra Bevandić, Siniša Šegvić

Comments Accepted on ECCV 2022

Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning

Damien Teney, Maxime Peyrard, Ehsan Abbasnejad

Comments Long version of a paper accepted at the 2022 European Conference on Computer Vision (ECCV)

FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling

Haoning Wu, Chaofeng Chen, Jingwen Hou, Liang Liao, Annan Wang, Wenxiu Sun, Qiong Yan, Weisi Lin

Comments Will appear on ECCV 2022. 14 Pages

Journal ref Proceedings of the European Conference on Computer Vision (ECCV) 2022

GAMa: Cross-view Video Geo-localization

Shruti Vyas, Chen Chen, Mubarak Shah

Journal ref ECCV 2022

Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation

Zhehan Kan, Shuoshuo Chen, Zeng Li, Zhihai He

Comments ECCV 2022

Domain Adaptive Video Segmentation via Temporal Pseudo Supervision

Yun Xing, Dayan Guan, Jiaxing Huang, Shijian Lu

Comments Accepted to ECCV 2022. Code is available at https://github.com/xing0047/TPS

Weakly Supervised Grounding for VQA in Vision-Language Transformers

Aisha Urooj Khan, Hilde Kuehne, Chuang Gan, Niels Da Vitoria Lobo, Mubarak Shah

Comments To appear at ECCV 2022

Object Wake-up: 3D Object Rigging from a Single Image

Ji Yang, Xinxin Zuo, Sen Wang, Zhenbo Yu, Xingyu Li, Bingbing Ni, Minglun Gong, Li Cheng

Comments ECCV 2022

Detecting and Recovering Sequential DeepFake Manipulation

Rui Shao, Tianxing Wu, Ziwei Liu

Comments ECCV 2022. Project page: https://rshaojimmy.github.io/Projects/SeqDeepFake Code: https://github.com/rshaojimmy/SeqDeepFake

Learning Local Implicit Fourier Representation for Image Warping

Jaewon Lee, Kwang Pyo Choi, Kyong Hwan Jin

Comments ECCV 2022 camera-ready version (https://ipl.dgist.ac.kr/LTEW.pdf)

Masked Generative Distillation

Zhendong Yang, Zhe Li, Mingqi Shao, Dachuan Shi, Zehuan Yuan, Chun Yuan

Comments Accept by ECCV 2022

Open-world Semantic Segmentation for LIDAR Point Clouds

Jun Cen, Peng Yun, Shiwei Zhang, Junhao Cai, Di Luan, Michael Yu Wang, Ming Liu, Mingqian Tang

Comments Accepted by ECCV 2022. arXiv admin note: text overlap with arXiv:2011.10033, arXiv:2109.05441 by other authors

DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning

Yuting Gao, Jia-Xin Zhuang, Shaohui Lin, Hao Cheng, Xing Sun, Ke Li, Chunhua Shen

Comments ECCV 2022

Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards

Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang

Comments In proceedings of ECCV 2020

Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks

Baris Gecer, Alexander Lattas, Stylianos Ploumpis, Jiankang Deng, Athanasios Papaioannou, Stylianos Moschoglou, Stefanos Zafeiriou

Comments Check project page: https://github.com/barisgecer/TBGAN for the full resolution results and the accompanying video

Journal ref In: European conference on computer vision. Springer, Cham, 2020. p. 415-433

Globally-Optimal Event Camera Motion Estimation

Xin Peng, Yifu Wang, Ling Gao, Laurent Kneip

Journal ref European Conference on Computer Vision (ECCV), 2020

What Does CNN Shift Invariance Look Like? A Visualization Study

Jake Lee, Junfeng Yang, Zhangyang Wang

Comments Presented at the 2020 ECCV Workshop on Real-World Computer Vision from Inputs with Limited Quality (RLQ-TOD 2020), Glasgow, Scotland

Training Semantic Descriptors for Image-Based Localization

Ibrahim Cinaroglu, Yalin Bastanlar

Comments 4 pages, 4 figures, Accepted and Presented at Workshop on Perception for Autonomous Driving (PAD) / ECCV 2020

Online Continual Learning under Extreme Memory Constraints

Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci

Comments ECCV 2020

Unsupervised Online Learning for Robotic Interestingness with Visual Memory

Chen Wang, Yuheng Qiu, Wenshan Wang, Yafei Hu, Seungchan Kim, Sebastian Scherer

Comments Accepted to The IEEE Transactions on Robotics (T-RO). A substantial extension of the ECCV 2020 paper arXiv:2005.08829

DTVNet+: A High-Resolution Scenic Dataset for Dynamic Time-lapse Video Generation

Jiangning Zhang, Chao Xu, Yong Liu, Yunliang Jiang

Comments This work extends the previous DTVNet in ECCV'20, and we further present a high-quality and high-resolution Quick-Sky-Time dataset and carry out more adequate experiments and analysis

Mining self-similarity: Label super-resolution with epitomic representations

Nikolay Malkin, Anthony Ortiz, Caleb Robinson, Nebojsa Jojic

Comments ECCV 2020 final version

Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets

Tong Wu, Qingqiu Huang, Ziwei Liu, Yu Wang, Dahua Lin

Comments To appear in ECCV 2020 as a spotlight presentation. Code and models are available at: https://github.com/wutong16/DistributionBalancedLoss

Journal ref Proceedings Of The European Conference On Computer Vision (ECCV), 2020