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ORCID17th ECCV 2022: Tel Aviv, Israel - Volume 9
- Shai Avidan, Gabriel J. Brostow
, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part IX. Lecture Notes in Computer Science 13669, Springer 2022, ISBN 978-3-031-20076-2 - Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Yu Qiao, Jifeng Dai:
BEVFormer: Learning Bird's-Eye-View Representation from Multi-camera Images via Spatiotemporal Transformers. 1-18 - Jiehong Lin, Zewei Wei, Changxing Ding, Kui Jia:
Category-Level 6D Object Pose and Size Estimation Using Self-supervised Deep Prior Deformation Networks. 19-34 - Hongyu Zhou, Zheng Ge, Songtao Liu, Weixin Mao, Zeming Li, Haiyan Yu, Jian Sun:
Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection. 35-50 - Pengfei Chen, Xuehui Yu, Xumeng Han, Najmul Hassan, Kai Wang, Jiachen Li, Jian Zhao, Humphrey Shi, Zhenjun Han, Qixiang Ye:
Point-to-Box Network for Accurate Object Detection via Single Point Supervision. 51-67 - Takehiko Ohkawa, Yu-Jhe Li, Qichen Fu, Ryosuke Furuta, Kris M. Kitani, Yoichi Sato:
Domain Adaptive Hand Keypoint and Pixel Localization in the Wild. 68-87 - Wen Wang, Jing Zhang, Yang Cao, Yongliang Shen, Dacheng Tao:
Towards Data-Efficient Detection Transformers. 88-105 - Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy:
Open-Vocabulary DETR with Conditional Matching. 106-122 - Chenhongyi Yang, Mateusz Ochal, Amos J. Storkey, Elliot J. Crowley:
Prediction-Guided Distillation for Dense Object Detection. 123-138 - Yi-Ting Chen, Jinghao Shi, Zelin Ye, Christoph Mertz, Deva Ramanan, Shu Kong:
Multimodal Object Detection via Probabilistic Ensembling. 139-158 - Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, B. G. Vijay Kumar, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris N. Metaxas:
Exploiting Unlabeled Data with Vision and Language Models for Object Detection. 159-175 - Junho Kim, Hojun Jang, Changwoon Choi, Young Min Kim:
CPO: Change Robust Panorama to Point Cloud Localization. 176-192 - Jianyun Xu, Zhenwei Miao, Da Zhang, Hongyu Pan, Kaixuan Liu, Peihan Hao, Jun Zhu, Zhengyang Sun, Hongmin Li, Xin Zhan:
INT: Towards Infinite-Frames 3D Detection with an Efficient Framework. 193-209 - Mingxiang Liao, Fang Wan, Yuan Yao, Zhenjun Han, Jialing Zou, Yuze Wang, Bailan Feng, Peng Yuan, Qixiang Ye:
End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution. 210-226 - Qi Zhang, Antoni B. Chan:
Calibration-Free Multi-view Crowd Counting. 227-244 - Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang:
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-training. 245-262 - Xiangrui Zhao, Sheng Yang, Tianxin Huang, Jun Chen, Teng Ma, Mingyang Li, Yong Liu:
SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud. 263-279 - Yanghao Li, Hanzi Mao, Ross B. Girshick, Kaiming He:
Exploring Plain Vision Transformer Backbones for Object Detection. 280-296 - Ziyi Dong, Pengxu Wei, Liang Lin:
Adversarially-Aware Robust Object Detector. 297-313 - Luting Wang, Xiaojie Li, Yue Liao, Zeren Jiang, Jianlong Wu, Fei Wang, Chen Qian, Si Liu:
HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors. 314-331 - Zhenchao Jin, Dongdong Yu, Luchuan Song, Zehuan Yuan, Lequan Yu:
You Should Look at All Objects. 332-349 - Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra:
Detecting Twenty-Thousand Classes Using Image-Level Supervision. 350-368 - Hongyang Li, Jiehong Lin, Kui Jia:
DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation. 369-385 - Tai Wang, Jiangmiao Pang, Dahua Lin:
Monocular 3D Object Detection with Depth from Motion. 386-403 - Yilin Wen, Xiangyu Li, Hao Pan, Lei Yang, Zheng Wang, Taku Komura, Wenping Wang:
DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation. 404-421 - Sanli Tang, Zhongyu Zhang, Zhanzhan Cheng, Jing Lu, Yunlu Xu, Yi Niu, Fan He:
Distilling Object Detectors with Global Knowledge. 422-438 - Jianming Liang, Guanglu Song, Biao Leng, Yu Liu:
Unifying Visual Perception by Dispersible Points Learning. 439-456 - Gang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang, Shanshan Zhang:
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection. 457-472 - Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, Tatsuya Harada:
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection. 473-491 - Wufei Ma, Angtian Wang, Alan L. Yuille, Adam Kortylewski:
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features. 492-508 - Maoxun Yuan, Yinyan Wang, Xingxing Wei:
Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection. 509-525 - Chang Xu, Jinwang Wang, Wen Yang, Huai Yu, Lei Yu, Gui-Song Xia:
RFLA: Gaussian Receptive Field Based Label Assignment for Tiny Object Detection. 526-543 - Hualian Sheng, Sijia Cai, Na Zhao, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Minjian Zhao, Gim Hee Lee:
Rethinking IoU-based Optimization for Single-stage 3D Object Detection. 544-561 - Yang He, Ravi Garg, Amber Roy Chowdhury:
TD-Road: Top-Down Road Network Extraction with Holistic Graph Construction. 562-577 - Shuang Wu, Wenjie Pei, Dianwen Mei, Fanglin Chen, Jiandong Tian, Guangming Lu:
Multi-faceted Distillation of Base-Novel Commonality for Few-Shot Object Detection. 578-594 - Mingzhi Yuan, Zhihao Li, Qiuye Jin, Xinrong Chen, Manning Wang:
PointCLM: A Contrastive Learning-based Framework for Multi-instance Point Cloud Registration. 595-611 - Haotian Bai, Ruimao Zhang, Jiong Wang, Xiang Wan:
Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration. 612-628 - Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang:
MTTrans: Cross-domain Object Detection with Mean Teacher Transformer. 629-645 - David Ferman, Gaurav Bharaj:
Multi-domain Multi-definition Landmark Localization for Small Datasets. 646-663 - Abhinav Kumar, Garrick Brazil, Enrique Corona, Armin Parchami, Xiaoming Liu:
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection. 664-683 - Yaomin Huang, Xinmei Liu, Yichen Zhu, Zhiyuan Xu, Chaomin Shen, Zhengping Che, Guixu Zhang, Yaxin Peng, Feifei Feng, Jian Tang:
Label-Guided Auxiliary Training Improves 3D Object Detector. 684-700 - Chengjian Feng, Yujie Zhong, Zequn Jie, Xiangxiang Chu, Haibing Ren, Xiaolin Wei, Weidi Xie, Lin Ma:
PromptDet: Towards Open-Vocabulary Detection Using Uncurated Images. 701-717 - Yingyan Li, Yuntao Chen, Jiawei He, Zhaoxiang Zhang:
Densely Constrained Depth Estimator for Monocular 3D Object Detection. 718-734 - Daoyi Gao, Yitong Li, Patrick Ruhkamp, Iuliia Skobleva, Magdalena Wysocki, HyunJun Jung, Pengyuan Wang, Arturo Guridi, Benjamin Busam:
Polarimetric Pose Prediction. 735-752
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