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ORCID17th ECCV Workshops 2022: Tel Aviv, Israel - Part VI
- Leonid Karlinsky, Tomer Michaeli
, Ko Nishino:
Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VI. Lecture Notes in Computer Science 13806, Springer 2023, ISBN 978-3-031-25074-3
W22 - Competition on Affective Behavior Analysis In-the-Wild
- Zhe Wang, Liyan Chen, Shaurya Rathore, Daeyun Shin, Charless C. Fowlkes:
Geometric Pose Affordance: Monocular 3D Human Pose Estimation with Scene Constraints. 3-18 - Yifan Li, Haomiao Sun, Zhaori Liu, Hu Han, Shiguang Shan:
Affective Behaviour Analysis Using Pretrained Model with Facial Prior. 19-30 - Darshan Gera, Bobbili Veerendra Raj Kumar, Badveeti Naveen Siva Kumar, Balasubramanian Subramanian:
Facial Affect Recognition Using Semi-supervised Learning with Adaptive Threshold. 31-44 - Andrey V. Savchenko:
MT-EmotiEffNet for Multi-task Human Affective Behavior Analysis and Learning from Synthetic Data. 45-59 - Jae-Yeop Jeong, Yeong-Gi Hong, Sumin Hong, Jiyeon Oh, Yuchul Jung, Sang-Ho Kim, Jin-Woo Jeong:
Ensemble of Multi-task Learning Networks for Facial Expression Recognition In-the-Wild with Learning from Synthetic Data. 60-75 - Akshita Mittel, Shashank Tripathi:
PERI: Part Aware Emotion Recognition in the Wild. 76-92 - Jie Lei, Zhao Liu, Zeyu Zou, Tong Li, Juan Xu, Shuaiwei Wang, Guoyu Yang, Zunlei Feng:
Facial Expression Recognition with Mid-level Representation Enhancement and Graph Embedded Uncertainty Suppressing. 93-103 - Girish Kumar Solanki, Anastasios Roussos:
Deep Semantic Manipulation of Facial Videos. 104-120 - Hyungjun Lee, Hwangyu Lim, Sejoon Lim:
BYEL: Bootstrap Your Emotion Latent. 121-131 - Dang-Khanh Nguyen, Sudarshan Pant, Ngoc-Huynh Ho, Guee-Sang Lee, Soo-Hyung Kim, Hyung-Jeong Yang:
Affective Behavior Analysis Using Action Unit Relation Graph and Multi-task Cross Attention. 132-142 - Tenggan Zhang, Chuanhe Liu, Xiaolong Liu, Yuchen Liu, Liyu Meng, Lei Sun, Wenqiang Jiang, Fengyuan Zhang, Jinming Zhao, Qin Jin:
Multi-Task Learning Framework for Emotion Recognition In-the-Wild. 143-156 - Dimitrios Kollias:
ABAW: Learning from Synthetic Data & Multi-task Learning Challenges. 157-172 - Haiyang Sun, Zheng Lian, Bin Liu, Jianhua Tao, Licai Sun, Cong Cai, Yu He:
Two-Aspect Information Interaction Model for ABAW4 Multi-task Challenge. 173-180 - Siyang Li, Yifan Xu, Huanyu Wu, Dongrui Wu, Yingjie Yin, Jiajiong Cao, Jingting Ding:
Facial Expression Recognition In-the-Wild with Deep Pre-trained Models. 181-190
W23 - Visual Perception for Navigation in Human Environments: The JackRabbot Human Body Pose Dataset and Benchmark
- Frano Rajic:
Robustness of Embodied Point Navigation Agents. 193-204
W24 - Distributed Smart Cameras
- Haoyue Bai, Hao He, Zhuoxuan Peng, Tianyuan Dai, S.-H. Gary Chan:
CounTr: An End-to-End Transformer Approach for Crowd Counting and Density Estimation. 207-222 - Marcela Carvalho, Oussama Ennaffi, Sylvain Chateau, Samy Ait Bachir:
On the Design of Privacy-Aware Cameras: A Study on Deep Neural Networks. 223-237 - Praveen Kumar Rajendran, Sumit Mishra, Luiz Felipe Vecchietti, Dongsoo Har:
RelMobNet: End-to-End Relative Camera Pose Estimation Using a Robust Two-Stage Training. 238-252 - Alessio Xompero, Andrea Cavallaro:
Cross-Camera View-Overlap Recognition. 253-269 - Liliana Lo Presti, Giuseppe Mazzola, Marco La Cascia:
Activity Monitoring Made Easier by Smart 360-degree Cameras. 270-285 - Ujjal Kr Dutta:
Seeing Objects in Dark with Continual Contrastive Learning. 286-302 - Gourav Datta, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel:
Towards Energy-Efficient Hyperspectral Image Processing Inside Camera Pixels. 303-316 - Stephen Su, Samuel Kwong, Qingyu Zhao, De-An Huang, Juan Carlos Niebles, Ehsan Adeli:
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding. 317-333 - Athanasios Psaltis, Charalampos Z. Patrikakis, Petros Daras:
Deep Multi-modal Representation Schemes for Federated 3D Human Action Recognition. 334-352 - Vaibhav Bansal, Christian Micheloni, Gian Luca Foresti, Niki Martinel:
Spatio-Temporal Attention for Cloth-Changing ReID in Videos. 353-368
W25 - Causality in Vision
- Chen Li, JinZhe Jiang, Xin Zhang, Tonghuan Zhang, Yaqian Zhao, Dongdong Jiang, Rengang Li:
Towards Interpreting Computer Vision Based on Transformation Invariant Optimization. 371-382 - Niklas Penzel, Christian Reimers, Paul Bodesheim, Joachim Denzler:
Investigating Neural Network Training on a Feature Level Using Conditional Independence. 383-399 - Rajat Rasal, Daniel C. Castro, Nick Pawlowski, Ben Glocker:
Deep Structural Causal Shape Models. 400-432 - Xingxuan Zhang, Yue He, Tan Wang, Jiaxin Qi, Han Yu, Zimu Wang, Jie Peng, Renzhe Xu, Zheyan Shen, Yulei Niu, Hanwang Zhang, Peng Cui:
NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges. 433-450 - Haozhe Liu, Wentian Zhang, Jinheng Xie, Haoqian Wu, Bing Li, Ziqi Zhang, Yuexiang Li, Yawen Huang, Bernard Ghanem, Yefeng Zheng:
Decoupled Mixup for Out-of-Distribution Visual Recognition. 451-464 - Zining Chen, Weiqiu Wang, Zhicheng Zhao, Aidong Men, Hong Chen:
Bag of Tricks for Out-of-Distribution Generalization. 465-476 - Zhi Lv, Bo Lin, Siyuan Liang, Lihua Wang, Mochen Yu, Yao Tang, Jiajun Liang:
SimpleDG: Simple Domain Generalization Baseline Without Bells and Whistles. 477-487 - Jiahao Wang, Hao Wang, Zhuojun Dong, Hua Yang, Yuting Yang, Qianyue Bao, Fang Liu, Licheng Jiao:
A Three-Stage Model Fusion Method for Out-of-Distribution Generalization. 488-499 - Huanran Chen, Shitong Shao, Ziyi Wang, Zirui Shang, Jin Chen, Xiaofeng Ji, Xinxiao Wu:
Bootstrap Generalization Ability from Loss Landscape Perspective. 500-517 - Yulei Lu, Yawei Luo, Antao Pan, Yangjun Mao, Jun Xiao:
Domain Generalization with Global Sample Mixup. 518-529 - Yuqing Wang, Xiangxian Li, Zhuang Qi, Jingyu Li, Xuelong Li, Xiangxu Meng, Lei Meng:
Meta-Causal Feature Learning for Out-of-Distribution Generalization. 530-545
W26 - In-vehicle Sensing and Monitorization
- Gülin Tüfekci, Alper Kayabasi, Erdem Akagündüz, Ilkay Ulusoy:
Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders. 549-559 - Teun Urselmann, Paola Natalia Cañas, Juan Diego Ortega, Marcos Nieto:
Semi-automatic Pipeline for Large-Scale Dataset Annotation Task: A DMD Application. 560-574 - Houda Rafi, Yannick Benezeth, Philippe Reynaud, Emmanuel Arnoux, Fan Yang, Cédric Demonceaux:
Personalization of AI Models Based on Federated Learning for Driver Stress Monitoring. 575-585
W27 - Assistive Computer Vision and Robotics
- Huai-Wei Peng, Yu-Chee Tseng:
Multi-scale Motion-Aware Module for Video Action Recognition. 589-606 - Yu Hao, Junchi Feng, John-Ross Rizzo, Yao Wang, Yi Fang:
Detect and Approach: Close-Range Navigation Support for People with Blindness and Low Vision. 607-622 - Ping-Cheng Wei, Kunyu Peng, Alina Roitberg, Kailun Yang, Jiaming Zhang, Rainer Stiefelhagen:
Multi-modal Depression Estimation Based on Sub-attentional Fusion. 623-639 - Stefan Constantin, Fevziye Irem Eyiokur, Dogucan Yaman, Leonard Bärmann, Alex Waibel:
Interactive Multimodal Robot Dialog Using Pointing Gesture Recognition. 640-657 - Jinge Qie, Yixing Gao, Runyang Feng, Xin Wang, Jielong Yang, Esha Dasgupta, Hyung Jin Chang, Yi Chang:
Cross-Domain Representation Learning for Clothes Unfolding in Robot-Assisted Dressing. 658-671 - Shunsuke Ochi, Jun Miura:
Depth-Based In-Bed Human Pose Estimation with Synthetic Dataset Generation and Deep Keypoint Estimation. 672-685 - Omiros Pantazis, Mathew Salvaris:
Matching Multiple Perspectives for Efficient Representation Learning. 686-698 - Sujal Vijayaraghavan, Redwan Alqasemi, Rajiv V. Dubey, Sudeep Sarkar:
LocaliseBot: Multi-view 3D Object Localisation with Differentiable Rendering for Robot Grasping. 699-711 - Chakka Sai Pradeep, Neelam Sinha:
Fused Multilayer Layer-CAM Fine-Grained Spatial Feature Supervision for Surgical Phase Classification Using CNNs. 712-726 - Szilárd Molnár, Levente Tamás:
Representation Learning for Point Clouds with Variational Autoencoders. 727-737 - Aditya Kanade, Mansi Sharma, Manivannan Muniyandi:
Tele-EvalNet: A Low-Cost, Teleconsultation System for Home Based Rehabilitation of Stroke Survivors Using Multiscale CNN-ConvLSTM Architecture. 738-750 - X. Huy Manh, Daniela Gigante, Claudia Angiolini, Simonetta Bagella, Marco Caccianiga, Franco Angelini, Manolo Garabini, Paolo Remagnino:
Towards the Computational Assessment of the Conservation Status of a Habitat. 751-764 - Adam J. Berlier, Anjali Bhatt, Cynthia Matuszek:
Augmenting Simulation Data with Sensor Effects for Improved Domain Transfer. 765-779
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