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ORCIDLuc Van Gool
Person information
- affiliation: ETH Zurich, Computer Vision Lab
- affiliation: KU Leuven, Center for Processing Speech and Images (PSI-VISICS)
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2020 – today
- 2023
[j172]Ge-Peng Ji
, Deng-Ping Fan, Yu-Cheng Chou, Dengxin Dai, Alexander Liniger, Luc Van Gool:
Deep Gradient Learning for Efficient Camouflaged Object Detection. Int. J. Autom. Comput. 20(1): 92-108 (2023)- [j171]Hanqing Wang, Wenguan Wang, Wei Liang, Steven C. H. Hoi, Jianbing Shen, Luc Van Gool:
Active Perception for Visual-Language Navigation. Int. J. Comput. Vis. 131(3): 607-625 (2023) - [j170]Dario Fuoli, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool, Radu Timofte:
An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement. Int. J. Comput. Vis. 131(4): 1042-1059 (2023) - [j169]Dengxin Dai, Arun Balajee Vasudevan, Jiri Matas, Luc Van Gool:
Binaural SoundNet: Predicting Semantics, Depth and Motion With Binaural Sounds. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 123-136 (2023) - [c797]Nikola Popovic, Ritika Chakraborty, Danda Pani Paudel, Thomas Probst, Luc Van Gool:
Spatially Multi-conditional Image Generation. WACV 2023: 734-743 - [c796]Abhishek Jha, Badri N. Patro, Luc Van Gool, Tinne Tuytelaars:
Barlow constrained optimization for Visual Question Answering. WACV 2023: 1084-1093 - [c795]Chuqiao Li, Zhiwu Huang, Danda Pani Paudel, Yabin Wang, Mohamad Shahbazi, Xiaopeng Hong, Luc Van Gool:
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials. WACV 2023: 1339-1349 - [c794]Philippe Blatter, Menelaos Kanakis, Martin Danelljan, Luc Van Gool:
Efficient Visual Tracking with Exemplar Transformers. WACV 2023: 1571-1581 - [c793]Dario Fuoli, Martin Danelljan, Radu Timofte, Luc Van Gool:
Fast Online Video Super-Resolution with Deformable Attention Pyramid. WACV 2023: 1735-1744 - [c792]Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool:
Composite Learning for Robust and Effective Dense Predictions. WACV 2023: 2298-2307 - [c791]Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Multi-View Photometric Stereo Revisited. WACV 2023: 3125-3134 - [c790]David Brüggemann, Christos Sakaridis, Prune Truong, Luc Van Gool:
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions. WACV 2023: 3173-3183 - [c789]Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal:
Learning Attention Propagation for Compositional Zero-Shot Learning. WACV 2023: 3817-3826 - [c788]Yifan Lu, Gurkirt Singh, Suman Saha, Luc Van Gool:
Exploiting Instance-based Mixed Sampling via Auxiliary Source Domain Supervision for Domain-adaptive Action Detection. WACV 2023: 4134-4145 - [c787]Gurkirt Singh, Vasileios Choutas, Suman Saha, Fisher Yu, Luc Van Gool:
Spatio-Temporal Action Detection Under Large Motion. WACV 2023: 5998-6007 - [c786]Ke Li, Dengxin Dai, Luc Van Gool:
Jointly Learning Band Selection and Filter Array Design for Hyperspectral Imaging. WACV 2023: 6373-6383 - [i401]Lei Sun, Christos Sakaridis, Jingyun Liang, Peng Sun, Jiezhang Cao, Kai Zhang, Qi Jiang, Kaiwei Wang, Luc Van Gool:
Event-Based Frame Interpolation with Ad-hoc Deblurring. CoRR abs/2301.05191 (2023) - [i400]Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool:
VA-DepthNet: A Variational Approach to Single Image Depth Prediction. CoRR abs/2302.06556 (2023) - [i399]Yawei Li, Yuchen Fan, Xiaoyu Xiang, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool:
Efficient and Explicit Modelling of Image Hierarchies for Image Restoration. CoRR abs/2303.00748 (2023) - [i398]Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool:
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. CoRR abs/2303.04116 (2023) - [i397]Nick Bührer, Zhejun Zhang, Alexander Liniger, Fisher Yu, Luc Van Gool:
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning. CoRR abs/2303.04118 (2023) - [i396]David Brüggemann, Christos Sakaridis, Tim Brödermann, Luc Van Gool:
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation. CoRR abs/2303.05194 (2023) - [i395]Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, Luc Van Gool:
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion. CoRR abs/2303.06840 (2023) - [i394]Hao Tang, Zhenyu Zhang, Humphrey Shi, Bo Li, Ling Shao, Nicu Sebe, Radu Timofte, Luc Van Gool:
Graph Transformer GANs for Graph-Constrained House Generation. CoRR abs/2303.08225 (2023) - [i393]Zixiang Zhao, Jiangshe Zhang, Xiang Gu, Chengli Tan, Shuang Xu, Yulun Zhang, Radu Timofte, Luc Van Gool:
Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution. CoRR abs/2303.08942 (2023) - [i392]Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Luc Van Gool:
DiffIR: Efficient Diffusion Model for Image Restoration. CoRR abs/2303.09472 (2023) - [i391]Kamil Adamczewski, Christos Sakaridis, Vaishakh Patil, Luc Van Gool:
Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion. CoRR abs/2303.11720 (2023) - 2022
- [j168]Deng-Ping Fan, Ziling Huang, Peng Zheng, Hong Liu, Xuebin Qin, Luc Van Gool:
Facial-sketch Synthesis: A New Challenge. Int. J. Autom. Comput. 19(4): 257-287 (2022) - [j167]Ge-Peng Ji, Guobao Xiao, Yu-Cheng Chou, Deng-Ping Fan, Kai Zhao, Geng Chen, Luc Van Gool:
Video Polyp Segmentation: A Deep Learning Perspective. Int. J. Autom. Comput. 19(6): 531-549 (2022) - [j166]Hisham Cholakkal, Guolei Sun, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Luc Van Gool:
Towards Partial Supervision for Generic Object Counting in Natural Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1604-1622 (2022) - [j165]Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3139-3153 (2022) - [j164]Simon Vandenhende, Stamatios Georgoulis, Wouter Van Gansbeke, Marc Proesmans, Dengxin Dai, Luc Van Gool:
Multi-Task Learning for Dense Prediction Tasks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3614-3633 (2022) - [j163]Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Yunde Jia, Luc Van Gool:
Towards a Weakly Supervised Framework for 3D Point Cloud Object Detection and Annotation. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4454-4468 (2022) - [j162]Kai Zhang, Yawei Li, Wangmeng Zuo, Lei Zhang, Luc Van Gool, Radu Timofte:
Plug-and-Play Image Restoration With Deep Denoiser Prior. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6360-6376 (2022) - [j161]Xiankai Lu, Wenguan Wang, Jianbing Shen, David J. Crandall, Luc Van Gool:
Segmenting Objects From Relational Visual Data. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7885-7897 (2022) - [j160]Davide Menini, Suryansh Kumar, Martin R. Oswald, Erik Sandström, Cristian Sminchisescu, Luc Van Gool:
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes. IEEE Robotics Autom. Lett. 7(2): 1332-1339 (2022) - [j159]Niclas Vödisch, Ozan Unal, Ke Li, Luc Van Gool, Dengxin Dai:
End-to-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization. IEEE Robotics Autom. Lett. 7(2): 2242-2249 (2022) - [j158]Yigit Baran Can, Alexander Liniger, Ozan Unal, Danda Pani Paudel, Luc Van Gool:
Understanding Bird's-Eye View of Road Semantics Using an Onboard Camera. IEEE Robotics Autom. Lett. 7(2): 3302-3309 (2022) - [j157]Vaishakh Patil, Alexander Liniger, Dengxin Dai, Luc Van Gool:
Improving Depth Estimation Using Map-Based Depth Priors. IEEE Robotics Autom. Lett. 7(2): 3640-3647 (2022) - [j156]Jan-Nico Zaech, Alexander Liniger, Dengxin Dai, Martin Danelljan, Luc Van Gool:
Learnable Online Graph Representations for 3D Multi-Object Tracking. IEEE Robotics Autom. Lett. 7(2): 5103-5110 (2022) - [c785]Janis Postels, Martin Danelljan, Luc Van Gool, Federico Tombari:
ManiFlow: Implicitly Representing Manifolds with Normalizing Flows. 3DV 2022: 84-93 - [c784]Zilin Fang, Mohamad Shahbazi, Thomas Probst, Danda Pani Paudel, Luc Van Gool:
Training Dynamics Aware Neural Network Optimization with Stabilization. ACCV (1) 2022: 635-651 - [c783]Yitong Xia, Hao Tang, Radu Timofte, Luc Van Gool:
SiNeRF: Sinusoidal Neural Radiance Fields for Joint Pose Estimation and Scene Reconstruction. BMVC 2022: 131 - [c782]Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
End-to-End Learning of Multi-category 3D Pose and Shape Estimation. BMVC 2022: 200 - [c781]Nishant Jain, Suryansh Kumar, Luc Van Gool:
Robustifying the Multi-Scale Representation of Neural Radiance Fields. BMVC 2022: 578 - [c780]Mubashir Noman, Wafa Al Ghallabi, Daniya Kareem, Christoph Mayer, Akshay Dudhane, Martin Danelljan, Hisham Cholakkal, Salman Khan, Luc Van Gool, Fahad Shahbaz Khan:
AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility. BMVC 2022: 817 - [c779]Kamil Adamczewski, Christos Sakaridis, Vaishakh Patil, Luc Van Gool:
Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion. CoRL 2022: 561-570 - [c778]Yawei Li, Kamil Adamczewski, Wen Li, Shuhang Gu, Radu Timofte, Luc Van Gool:
Revisiting Random Channel Pruning for Neural Network Compression. CVPR 2022: 191-201 - [c777]Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool:
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction. CVPR Workshops 2022: 744-754 - [c776]Andrés Romero, Luc Van Gool, Radu Timofte:
Unpaired Real-World Super-Resolution with Pseudo Controllable Restoration. CVPR Workshops 2022: 797-806 - [c775]Boaz Arad, Radu Timofte, Rony Yahel, Nimrod Morag, Amir Bernat, Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Luc Van Gool, Shuai Liu, Yongqiang Li, Chaoyu Feng, Lei Lei, Jiaojiao Li, Songcheng Du, Chaoxiong Wu, Yihong Leng, Rui Song, Mingwei Zhang, Chongxing Song, Shuyi Zhao, Zhiqiang Lang, Wei Wei, Lei Zhang, Renwei Dian, Tianci Shan, Anjing Guo, Chengguo Feng, Jinyang Liu, Mirko Agarla, Simone Bianco, Marco Buzzelli, Luigi Celona, Raimondo Schettini, Jiang He, Yi Xiao, Jiajun Xiao, Qiangqiang Yuan, Jie Li, Liangpei Zhang, Taesung Kwon, Dohoon Ryu, Hyokyoung Bae, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Junyu Chen, Haiwei Li, Song Liu, Sabari Nathan, K. Uma, B. Sathya Bama, S. Mohamed Mansoor Roomi:
NTIRE 2022 Spectral Recovery Challenge and Data Set. CVPR Workshops 2022: 862-880 - [c774]Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang:
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2022: 1061-1101 - [c773]Vaishakh Patil, Christos Sakaridis, Alexander Liniger, Luc Van Gool:
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior. CVPR 2022: 1600-1611 - [c772]Tianfei Zhou, Wenguan Wang, Ender Konukoglu, Luc Van Gool:
Rethinking Semantic Segmentation: A Prototype View. CVPR 2022: 2572-2583 - [c771]Ozan Unal, Dengxin Dai, Luc Van Gool:
Scribble-Supervised LiDAR Semantic Segmentation. CVPR 2022: 2687-2697 - [c770]Guolei Sun, Yun Liu, Henghui Ding, Thomas Probst, Luc Van Gool:
Coarse-to-Fine Feature Mining for Video Semantic Segmentation. CVPR 2022: 3116-3127 - [c769]Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool:
Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields Translation. CVPR 2022: 3971-3980 - [c768]Nicola Marinello, Marc Proesmans, Luc Van Gool:
TripletTrack: 3D Object Tracking using Triplet Embeddings and LSTM. CVPR Workshops 2022: 4499-4509 - [c767]Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai:
Continual Test-Time Domain Adaptation. CVPR 2022: 7191-7201 - [c766]Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool:
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences. CVPR 2022: 8698-8708 - [c765]Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc Van Gool:
Transforming Model Prediction for Tracking. CVPR 2022: 8721-8730 - [c764]Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool:
Adiabatic Quantum Computing for Multi Object Tracking. CVPR 2022: 8801-8812 - [c763]Lukas Hoyer, Dengxin Dai, Luc Van Gool:
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation. CVPR 2022: 9914-9925 - [c762]Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Radu Timofte, Luc Van Gool:
Generative Flows with Invertible Attentions. CVPR 2022: 11224-11233 - [c761]Andreas Lugmayr, Martin Danelljan, Andrés Romero, Fisher Yu, Radu Timofte, Luc Van Gool:
RePaint: Inpainting using Denoising Diffusion Probabilistic Models. CVPR 2022: 11451-11461 - [c760]Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Radu Timofte, Martin Danelljan, Luc Van Gool:
Arbitrary-Scale Image Synthesis. CVPR 2022: 11523-11532 - [c759]Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncertainty-Aware Deep Multi-View Photometric Stereo. CVPR 2022: 12591-12601 - [c758]Wenhao Li, Hong Liu, Hao Tang, Pichao Wang, Luc Van Gool:
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation. CVPR 2022: 13137-13146 - [c757]Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Sound and Visual Representation Learning with Multiple Pretraining Tasks. CVPR 2022: 14596-14606 - [c756]Hanqing Wang, Wei Liang, Jianbing Shen, Luc Van Gool, Wenguan Wang:
Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation. CVPR 2022: 15450-15460 - [c755]Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool:
LiDAR Snowfall Simulation for Robust 3D Object Detection. CVPR 2022: 16343-16353 - [c754]Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Topology Preserving Local Road Network Estimation from Single Onboard Camera Image. CVPR 2022: 17242-17251 - [c753]Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction. CVPR 2022: 17481-17490 - [c752]Xiaowan Hu, Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging. CVPR 2022: 17521-17530 - [c751]Zipeng Xu, Tianwei Lin, Hao Tang, Fu Li, Dongliang He, Nicu Sebe, Radu Timofte, Luc Van Gool, Errui Ding:
Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model. CVPR 2022: 18208-18217 - [c750]Tao Sun, Mattia Segù, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu:
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation. CVPR 2022: 21339-21350 - [c749]Rui Gong, Martin Danelljan, Dengxin Dai, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool:
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation. ECCV (34) 2022: 19-35 - [c748]Jialun Pei, Tianyang Cheng, Deng-Ping Fan, He Tang, Chuanbo Chen, Luc Van Gool:
OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers. ECCV (18) 2022: 19-37 - [c747]Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Ling Shao, Luc Van Gool:
Highly Accurate Dichotomous Image Segmentation. ECCV (18) 2022: 38-56 - [c746]Suryansh Kumar, Luc Van Gool:
Organic Priors in Non-rigid Structure from Motion. ECCV (2) 2022: 71-88 - [c745]Yannick Strümpler, Janis Postels, Ren Yang, Luc Van Gool, Federico Tombari:
Implicit Neural Representations for Image Compression. ECCV (26) 2022: 74-91 - [c744]Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool:
Learning Online Multi-sensor Depth Fusion. ECCV (32) 2022: 87-105 - [c743]Edward Günther, Rui Gong, Luc Van Gool:
Style Adaptive Semantic Image Editing with Transformers. ECCV Workshops (2) 2022: 187-203 - [c742]Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool:
Reference-Based Image Super-Resolution with Deformable Attention Transformer. ECCV (18) 2022: 325-342 - [c741]Lukas Hoyer, Dengxin Dai, Luc Van Gool:
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation. ECCV (30) 2022: 372-391 - [c740]Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool:
Towards Interpretable Video Super-Resolution via Alternating Optimization. ECCV (18) 2022: 393-411 - [c739]Lei Sun, Christos Sakaridis, Jingyun Liang, Qi Jiang, Kailun Yang, Peng Sun, Yaozu Ye, Kaiwei Wang, Luc Van Gool:
Event-Based Fusion for Motion Deblurring with Cross-modal Attention. ECCV (18) 2022: 412-428 - [c738]Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhen-Hua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang:
The Tenth Visual Object Tracking VOT2022 Challenge Results. ECCV Workshops (8) 2022: 431-460 - [c737]Guolei Sun, Yun Liu, Hao Tang, Ajad Chhatkuli, Le Zhang, Luc Van Gool:
Mining Relations Among Cross-Frame Affinities for Video Semantic Segmentation. ECCV (34) 2022: 522-539 - [c736]Matthieu Paul, Martin Danelljan, Christoph Mayer, Luc Van Gool:
Robust Visual Tracking by Segmentation. ECCV (22) 2022: 571-588 - [c735]Ardhendu Shekhar Tripathi, Martin Danelljan, Samarth Shukla, Radu Timofte, Luc Van Gool:
Transform Your Smartphone into a DSLR Camera: Learning the ISP in the Wild. ECCV (6) 2022: 625-641 - [c734]Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction. ECCV (17) 2022: 686-704 - [c733]Muhammad Ferjad Naeem, Evin Pinar Örnek, Yongqin Xian, Luc Van Gool, Federico Tombari:
3D Compositional Zero-Shot Learning with DeCompositional Consensus. ECCV (28) 2022: 713-730 - [c732]Andrey Ignatov, Anastasia Sycheva, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning. ECCV Workshops (2) 2022: 729-746 - [c731]Edoardo Mello Rella, Ajad Chhatkuli, Yun Liu, Ender Konukoglu, Luc Van Gool:
Zero Pixel Directional Boundary by Vector Transform. ICLR 2022 - [c730]Mohamad Shahbazi, Martin Danelljan, Danda Pani Paudel, Luc Van Gool:
Collapse by Conditioning: Training Class-conditional GANs with Limited Data. ICLR 2022 - [c729]Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Flow-Guided Sparse Transformer for Video Deblurring. ICML 2022: 13334-13343 - [c728]Jing Lin, Xiaowan Hu, Yuanhao Cai, Haoqian Wang, Youliang Yan, Xueyi Zou, Yulun Zhang, Luc Van Gool:
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration. ICML 2022: 13394-13404 - [c727]Janis Postels, Mattia Segù, Tao Sun, Luca Daniel Sieber, Luc Van Gool, Fisher Yu, Federico Tombari:
On the Practicality of Deterministic Epistemic Uncertainty. ICML 2022: 17870-17909 - [c726]Andrey Ignatov, Grigory Malivenko, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks. ICPR 2022: 677-684 - [c725]Ren Yang, Radu Timofte, Luc Van Gool:
Perceptual Learned Video Compression with Recurrent Conditional GAN. IJCAI 2022: 1537-1544 - [c724]Jose Luis Vazquez Espinoza, Alexander Liniger, Wilko Schwarting, Daniela Rus, Luc Van Gool:
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models. L4DC 2022: 1006-1019 - [c723]Yevhen Kuznietsov, Marc Proesmans, Luc Van Gool:
Towards Unsupervised Online Domain Adaptation for Semantic Segmentation. WACV (Workshops) 2022: 261-271 - [c722]Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution. WACV 2022: 874-883 - [c721]Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool:
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo. WACV 2022: 2304-2314 - [c720]Peshal Agarwal, Danda Pani Paudel, Jan-Nico Zaech, Luc Van Gool:
Unsupervised Robust Domain Adaptation without Source Data. WACV 2022: 2805-2814 - [c719]Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool:
Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo. WACV 2022: 3967-3979 - [c718]Ke Li, Dengxin Dai, Luc Van Gool:
Hyperspectral Image Super-Resolution with RGB Image Super-Resolution as an Auxiliary Task. WACV 2022: 4039-4048 - [i390]Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Sound and Visual Representation Learning with Multiple Pretraining Tasks. CoRR abs/2201.01046 (2022) - [i389]