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ORCIDAles Leonardis
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- affiliation: University of Birmingham, UK
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2020 – today
- 2023
[j68]Nora Horanyi
, Yuqi Hou, Ales Leonardis, Hyung Jin Chang:
G-DAIC: A Gaze Initialized Framework for Description and Aesthetic-Based Image Cropping. Proc. ACM Hum. Comput. Interact. 7(ETRA): 1-19 (2023)- [j67]Thomas Tanay, Aivar Sootla, Matteo Maggioni, Puneet K. Dokania, Philip H. S. Torr, Ales Leonardis, Gregory G. Slabaugh:
Diagnosing and Preventing Instabilities in Recurrent Video Processing. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1594-1605 (2023) - [c167]HyunJun Jung, Patrick Ruhkamp, Guangyao Zhai, Nikolas Brasch, Yitong Li, Yannick Verdie, Jifei Song, Yiren Zhou, Anil Armagan, Slobodan Ilic, Ales Leonardis, Nassir Navab, Benjamin Busam:
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks. CVPR 2023: 780-791 - [c166]Nora Horanyi, Linfang Zheng, Eunji Chong, Ales Leonardis, Hyung Jin Chang:
Where are they looking in the 3D space? CVPR Workshops 2023: 2678-2687 - [c165]Jinyu Yang, Shang Gao, Zhe Li, Feng Zheng, Ales Leonardis:
Resource-Efficient RGBD Aerial Tracking. CVPR 2023: 13374-13383 - [c164]Linfang Zheng, Chen Wang, Yinghan Sun, Esha Dasgupta, Hua Chen, Ales Leonardis, Wei Zhang, Hyung Jin Chang:
HS-Pose: Hybrid Scope Feature Extraction for Category-level Object Pose Estimation. CVPR 2023: 17163-17173 - [c163]Matteo Maggioni, Thomas Tanay, Francesca Babiloni, Steven McDonagh, Ales Leonardis:
Tunable Convolutions with Parametric Multi-Loss Optimization. CVPR 2023: 20226-20236 - [c162]Thomas Tanay, Ales Leonardis, Matteo Maggioni:
Efficient View Synthesis and 3D-based Multi-Frame Denoising with Multiplane Feature Representations. CVPR 2023: 20898-20907 - [i75]HyunJun Jung, Patrick Ruhkamp, Guangyao Zhai, Nikolas Brasch, Yitong Li, Yannick Verdie, Jifei Song, Yiren Zhou, Anil Armagan, Slobodan Ilic, Ales Leonardis, Nassir Navab, Benjamin Busam:
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks. CoRR abs/2303.14840 (2023) - [i74]Linfang Zheng, Chen Wang, Yinghan Sun, Esha Dasgupta, Hua Chen, Ales Leonardis, Wei Zhang, Hyung Jin Chang:
HS-Pose: Hybrid Scope Feature Extraction for Category-level Object Pose Estimation. CoRR abs/2303.15743 (2023) - [i73]Thomas Tanay, Ales Leonardis, Matteo Maggioni:
Efficient View Synthesis and 3D-based Multi-Frame Denoising with Multiplane Feature Representations. CoRR abs/2303.18139 (2023) - [i72]Matteo Maggioni, Thomas Tanay, Francesca Babiloni, Steven McDonagh, Ales Leonardis:
Tunable Convolutions with Parametric Multi-Loss Optimization. CoRR abs/2304.00898 (2023) - [i71]Alexander Krull, Hector Basevi, Benjamin Salmon, Andre Zeug, Franziska Müller, Samuel Tonks, Leela Muppala, Ales Leonardis:
Image Denoising and the Generative Accumulation of Photons. CoRR abs/2307.06607 (2023) - [i70]Wei-Hong Li, Steven McDonagh, Ales Leonardis, Hakan Bilen:
Multi-task Learning with 3D-Aware Regularization. CoRR abs/2310.00986 (2023) - [i69]Jiali Zheng, Youngkyoon Jang, Athanasios Papaioannou, Christos Kampouris, Rolandos Alexandros Potamias, Foivos Paraperas Papantoniou, Efstathios Galanakis, Ales Leonardis, Stefanos Zafeiriou:
ILSH: The Imperial Light-Stage Head Dataset for Human Head View Synthesis. CoRR abs/2310.03952 (2023) - 2022
- [j66]Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
A Continual Learning Survey: Defying Forgetting in Classification Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3366-3385 (2022) - [j65]Bolun Zheng, Shanxin Yuan, Chenggang Yan, Xiang Tian, Jiyong Zhang, Yaoqi Sun, Lin Liu, Ales Leonardis, Gregory G. Slabaugh:
Learning Frequency Domain Priors for Image Demoireing. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7705-7717 (2022) - [j64]Nora Horanyi, Kedi Xia, Kwang Moo Yi, Abhishake Kumar Bojja, Ales Leonardis, Hyung Jin Chang:
Repurposing existing deep networks for caption and aesthetic-guided image cropping. Pattern Recognit. 126: 108485 (2022) - [j63]Antonio Alliegro, Martin Rudorfer, Fabio Frattin, Ales Leonardis, Tatiana Tommasi:
End-to-End Learning to Grasp via Sampling From Object Point Clouds. IEEE Robotics Autom. Lett. 7(4): 9865-9872 (2022) - [j62]Sibi Catley-Chandar, Thomas Tanay, Lucas Vandroux, Ales Leonardis, Gregory G. Slabaugh, Eduardo Pérez-Pellitero:
FlexHDR: Modeling Alignment and Exposure Uncertainties for Flexible HDR Imaging. IEEE Trans. Image Process. 31: 5923-5935 (2022) - [j61]Xi Jia, Alexander Thorley, Wei Chen, Huaqi Qiu, Linlin Shen, Iain B. Styles, Hyung Jin Chang, Ales Leonardis, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert, Jinming Duan:
Learning a Model-Driven Variational Network for Deformable Image Registration. IEEE Trans. Medical Imaging 41(1): 199-212 (2022) - [c161]Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Ales Leonardis, Eduardo Pérez-Pellitero:
Model-Based Image Signal Processors via Learnable Dictionaries. AAAI 2022: 481-489 - [c160]Xue Hu, Xinghui Li, Benjamin Busam, Yiren Zhou, Ales Leonardis, Shanxin Yuan:
Disentangling 3D Attributes from a Single 2D Image: Human Pose, Shape and Garment. BMVC 2022: 31 - [c159]William Thong, José Costa Pereira, Sarah Parisot, Ales Leonardis, Steven McDonagh:
Content-Diverse Comparisons improve IQA. BMVC 2022: 244 - [c158]Richard Shaw, Sibi Catley-Chandar, Ales Leonardis, Eduardo Pérez-Pellitero:
HDR Reconstruction from Bracketed Exposures and Events. BMVC 2022: 603 - [c157]Hector Basevi, Ales Leonardis:
Imagining Hidden Supporting Objects using Volumetric Conditional GANs and Differentiable Stability Scores. BMVC 2022: 682 - [c156]Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park:
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. CVPR Workshops 2022: 1008-1022 - [c155]Tze Ho Elden Tse, Kwang In Kim, Ales Leonardis, Hyung Jin Chang:
Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution. CVPR 2022: 1654-1664 - [c154]Yannick Verdié, Jifei Song, Barnabé Mas, Benjamin Busam, Ales Leonardis, Steven McDonagh:
CroMo: Cross-Modal Learning for Monocular Depth Estimation. CVPR 2022: 3927-3937 - [c153]Jinyu Yang, Zhongqun Zhang, Zhe Li, Hyung Jin Chang, Ales Leonardis, Feng Zheng:
Towards Generic 3D Tracking in RGBD Videos: Benchmark and Baseline. ECCV (22) 2022: 112-128 - [c152]Zhongqun Zhang, Wei Chen, Linfang Zheng, Ales Leonardis, Hyung Jin Chang:
Trans6D: Transformer-Based 6D Object Pose Estimation and Refinement. ECCV Workshops (8) 2022: 112-128 - [c151]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 - [c150]Shang Gao, Jinyu Yang, Zhe Li, Feng Zheng, Ales Leonardis, Jingkuan Song:
Learning Dual-Fused Modality-Aware Representations for RGBD Tracking. ECCV Workshops (8) 2022: 478-494 - [c149]Tze Ho Elden Tse, Zhongqun Zhang, Kwang In Kim, Ales Leonardis, Feng Zheng, Hyung Jin Chang:
S2Contact: Graph-Based Network for 3D Hand-Object Contact Estimation with Semi-supervised Learning. ECCV (1) 2022: 568-584 - [c148]Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Ales Leonardis, Niki Trigoni, Andrew Markham:
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds. ECCV (27) 2022: 600-619 - [c147]Linfang Zheng, Ales Leonardis, Tze Ho Elden Tse, Nora Horanyi, Hua Chen, Wei Zhang, Hyung Jin Chang:
TP-AE: Temporally Primed 6D Object Pose Tracking with Auto-Encoders. ICRA 2022: 10616-10623 - [c146]Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh:
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images. IJCAI 2022: 2930-2936 - [c145]Mohammad Ani, Hector Basevi, Ales Leonardis:
Conditional Patch-Based Domain Randomization: Improving Texture Domain Randomization Using Natural Image Patches. IROS 2022: 1979-1985 - [c144]Jinyu Yang, Zhe Li, Feng Zheng, Ales Leonardis, Jingkuan Song:
Prompting for Multi-Modal Tracking. ACM Multimedia 2022: 3492-3500 - [i68]Nora Horanyi, Kedi Xia, Kwang Moo Yi, Abhishake Kumar Bojja, Ales Leonardis, Hyung Jin Chang:
Repurposing Existing Deep Networks for Caption and Aesthetic-Guided Image Cropping. CoRR abs/2201.02280 (2022) - [i67]Sibi Catley-Chandar, Thomas Tanay, Lucas Vandroux, Ales Leonardis, Gregory G. Slabaugh, Eduardo Pérez-Pellitero:
FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging. CoRR abs/2201.02625 (2022) - [i66]Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Ales Leonardis, Eduardo Pérez-Pellitero:
Model-Based Image Signal Processors via Learnable Dictionaries. CoRR abs/2201.03210 (2022) - [i65]Antonio Alliegro, Martin Rudorfer, Fabio Frattin, Ales Leonardis, Tatiana Tommasi:
End-to-End Learning to Grasp from Object Point Clouds. CoRR abs/2203.05585 (2022) - [i64]Michal Nazarczuk, Sibi Catley-Chandar, Ales Leonardis, Eduardo Pérez-Pellitero:
Self-supervised HDR Imaging from Motion and Exposure Cues. CoRR abs/2203.12311 (2022) - [i63]Yannick Verdié, Jifei Song, Barnabé Mas, Benjamin Busam, Ales Leonardis, Steven McDonagh:
CroMo: Cross-Modal Learning for Monocular Depth Estimation. CoRR abs/2203.12485 (2022) - [i62]Jinyu Yang, Zhe Li, Song Yan, Feng Zheng, Ales Leonardis, Joni-Kristian Kämäräinen, Ling Shao:
RGBD Object Tracking: An In-depth Review. CoRR abs/2203.14134 (2022) - [i61]Richard Shaw, Sibi Catley-Chandar, Ales Leonardis, Eduardo Pérez-Pellitero:
HDR Reconstruction from Bracketed Exposures and Events. CoRR abs/2203.14825 (2022) - [i60]Tze Ho Elden Tse, Kwang In Kim, Ales Leonardis, Hyung Jin Chang:
Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution. CoRR abs/2204.13062 (2022) - [i59]HyunJun Jung, Patrick Ruhkamp, Guangyao Zhai, Nikolas Brasch, Yitong Li, Yannick Verdie, Jifei Song, Yiren Zhou, Anil Armagan, Slobodan Ilic, Ales Leonardis, Benjamin Busam:
Is my Depth Ground-Truth Good Enough? HAMMER - Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression. CoRR abs/2205.04565 (2022) - [i58]Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park:
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. CoRR abs/2205.12633 (2022) - [i57]Martin Rudorfer, Markus Suchi, Mohan Sridharan, Markus Vincze, Ales Leonardis:
BURG-Toolkit: Robot Grasping Experiments in Simulation and the Real World. CoRR abs/2205.14099 (2022) - [i56]Jinyu Yang, Zhe Li, Feng Zheng, Ales Leonardis, Jingkuan Song:
Prompting for Multi-Modal Tracking. CoRR abs/2207.14571 (2022) - [i55]Tze Ho Elden Tse, Zhongqun Zhang, Kwang In Kim, Ales Leonardis, Feng Zheng, Hyung Jin Chang:
S2Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning. CoRR abs/2208.00874 (2022) - [i54]Xue Hu, Xinghui Li, Benjamin Busam, Yiren Zhou, Ales Leonardis, Shanxin Yuan:
Disentangling 3D Attributes from a Single 2D Image: Human Pose, Shape and Garment. CoRR abs/2208.03167 (2022) - [i53]Shang Gao, Jinyu Yang, Zhe Li, Feng Zheng, Ales Leonardis, Jingkuan Song:
Learning Dual-Fused Modality-Aware Representations for RGBD Tracking. CoRR abs/2211.03055 (2022) - [i52]William Thong, José Costa Pereira, Sarah Parisot, Ales Leonardis, Steven McDonagh:
Content-Diverse Comparisons improve IQA. CoRR abs/2211.05215 (2022) - [i51]Linus Ericsson, Nanqing Dong, Yongxin Yang, Ales Leonardis, Steven McDonagh:
Region Proposal Network Pre-Training Helps Label-Efficient Object Detection. CoRR abs/2211.09022 (2022) - [i50]Wei Chen, Xi Jia, Zhongqun Zhang, Hyung Jin Chang, Linlin Shen, Ales Leonardis:
Category-Level 6D Object Pose Estimation with Flexible Vector-Based Rotation Representation. CoRR abs/2212.04632 (2022) - 2021
- [j60]Kyuewang Lee, Hyung Jin Chang, Jongwon Choi, Byeongho Heo, Ales Leonardis, Jin Young Choi:
Motion-aware ensemble of three-mode trackers for unmanned aerial vehicles. Mach. Vis. Appl. 32(3): 54 (2021) - [j59]Tiago Mota, Mohan Sridharan, Ales Leonardis:
Integrated Commonsense Reasoning and Deep Learning for Transparent Decision Making in Robotics. SN Comput. Sci. 2(4): 242 (2021) - [j58]Yu Zhang, Peter Tiño, Ales Leonardis, Ke Tang:
A Survey on Neural Network Interpretability. IEEE Trans. Emerg. Top. Comput. Intell. 5(5): 726-742 (2021) - [c143]HyunJun Jung, Nikolas Brasch, Ales Leonardis, Nassir Navab, Benjamin Busam:
Wild ToFu: Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments. 3DV 2021: 239-248 - [c142]Song Yan, Jinyu Yang, Ales Leonardis, Joni-Kristian Kamarainen:
Depth-only Object Tracking. BMVC 2021: 243 - [c141]Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Ales Leonardis, Radu Timofte:
NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results. CVPR Workshops 2021: 691-700 - [c140]Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Linlin Shen, Ales Leonardis:
FS-Net: Fast Shape-Based Network for Category-Level 6D Object Pose Estimation With Decoupled Rotation Mechanism. CVPR 2021: 1581-1590 - [c139]Song Yan, Jinyu Yang, Jani Käpylä, Feng Zheng, Ales Leonardis, Joni-Kristian Kämäräinen:
DepthTrack: Unveiling the Power of RGBD Tracking. ICCV 2021: 10705-10713 - [c138]Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhen-Hua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed S. Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu:
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738 - [i49]Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Linlin Shen, Ales Leonardis:
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism. CoRR abs/2103.07054 (2021) - [i48]Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Ales Leonardis, Niki Trigoni, Andrew Markham:
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds with 1000x Fewer Labels. CoRR abs/2104.04891 (2021) - [i47]Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Qing Zhang, Haiyang Guo, Yi Bin, Yuqing Hou, Hengliang Luo, Jingyu Guo, Zirui Wang, Hai Wang, Wenming Yang, Qingyan Bai, Shuwei Shi, Weihao Xia, Mingdeng Cao, Jiahao Wang, Yifan Chen, Yujiu Yang, Yang Li, Tao Zhang, Longtao Feng, Yiting Liao, Junlin Li, William Thong, José Costa Pereira, Ales Leonardis, Steven McDonagh, Kele Xu, Lehan Yang, Hengxing Cai, Pengfei Sun, Seyed Mehdi Ayyoubzadeh, Ali Royat, Sid Ahmed Fezza, Dounia Hammou, Wassim Hamidouche, Sewoong Ahn, Gwangjin Yoon, Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa:
NTIRE 2021 Challenge on Perceptual Image Quality Assessment. CoRR abs/2105.03072 (2021) - [i46]Xi Jia, Alexander Thorley, Wei Chen, Huaqi Qiu, Linlin Shen, Iain B. Styles, Hyung Jin Chang, Ales Leonardis, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert, Jinming Duan:
Learning a Model-Driven Variational Network for Deformable Image Registration. CoRR abs/2105.12227 (2021) - [i45]Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Ales Leonardis, Radu Timofte:
NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results. CoRR abs/2106.01439 (2021) - [i44]Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh:
Residual Contrastive Learning for Joint Demosaicking and Denoising. CoRR abs/2106.10070 (2021) - [i43]Tianhong Dai, Wei Li, Xilei Cao, Jianzhuang Liu, Xu Jia, Ales Leonardis, Youliang Yan, Shanxin Yuan:
Wavelet-Based Network For High Dynamic Range Imaging. CoRR abs/2108.01434 (2021) - [i42]Song Yan, Jinyu Yang, Jani Käpylä, Feng Zheng, Ales Leonardis, Joni-Kristian Kämäräinen:
DepthTrack : Unveiling the Power of RGBD Tracking. CoRR abs/2108.13962 (2021) - [i41]Song Yan, Jinyu Yang, Ales Leonardis, Joni-Kristian Kamarainen:
Depth-only Object Tracking. CoRR abs/2110.11679 (2021) - [i40]Hyun Jun Jung, Nikolas Brasch, Ales Leonardis, Nassir Navab, Benjamin Busam:
Wild ToFu: Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments. CoRR abs/2112.03750 (2021) - 2020
- [j57]Domen Tabernik, Matej Kristan, Ales Leonardis:
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks. Int. J. Comput. Vis. 128(8): 2049-2067 (2020) - [j56]Gregor Koporec, Andrej Kosir, Ales Leonardis, Janez Pers:
Cognitive Relevance Transform for Population Re-Targeting. Sensors 20(17): 4668 (2020) - [c137]Shanxin Yuan, Radu Timofte, Ales Leonardis, Gregory G. Slabaugh, Xiaotong Luo, Jiangtao Zhang, Yanyun Qu, Ming Hong, Yuan Xie, Cuihua Li, Dejia Xu, Yihao Chu, Qingyan Sun, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Bolun Zheng, Xiaohong Liu, Linhui Dai, Jun Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Chul Lee, Vien Gia An, Hyunkook Park, Sabari Nathan, M. Parisa Beham, S. Mohamed Mansoor Roomi, Florian Lemarchand, Maxime Pelcat, Erwan Nogues, Densen Puthussery, Hrishikesh P. S, C. V. Jiji, Ashish Sinha, Xuan Zhao:
NTIRE 2020 Challenge on Image Demoireing: Methods and Results. CVPR Workshops 2020: 1882-1893 - [c136]Daniel Hernández Juárez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory G. Slabaugh, Steven McDonagh:
A Multi-Hypothesis Approach to Color Constancy. CVPR 2020: 2267-2277 - [c135]Bolun Zheng, Shanxin Yuan, Gregory G. Slabaugh, Ales Leonardis:
Image Demoireing with Learnable Bandpass Filters. CVPR 2020: 3633-3642 - [c134]Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Ales Leonardis:
G2L-Net: Global to Local Network for Real-Time 6D Pose Estimation With Embedding Vector Features. CVPR 2020: 4232-4241 - [c133]Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem. CVPR 2020: 14451-14460 - [c132]Carlo Biffi, Steven McDonagh, Philip H. S. Torr, Ales Leonardis, Sarah Parisot:
Many-Shot from Low-Shot: Learning to Annotate Using Mixed Supervision for Object Detection. ECCV (8) 2020: 35-50 - [c131]Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory G. Slabaugh, Ales Leonardis, Wengang Zhou, Qi Tian:
Wavelet-Based Dual-Branch Network for Image Demoiréing. ECCV (13) 2020: 86-102 - [c130]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhen-Hua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma:
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) 2020: 547-601 - [c129]Yu Liu, Sarah Parisot, Gregory G. Slabaugh, Xu Jia, Ales Leonardis, Tinne Tuytelaars:
More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning. ECCV (26) 2020: 699-716 - [c128]Tiago Mota, Mohan Sridharan, Ales Leonardis:
Integrated Commonsense Reasoning and Deep Learning for Transparent Decision Making in Robotics. EUMAS/AT 2020: 206-225 - [c127]Mohammad Ani, Hector Basevi, Ales Leonardis:
Quantifying the Use of Domain Randomization. ICPR 2020: 6128-6135 - [c126]Wei Chen, Jinming Duan, Hector Basevi, Hyung Jin Chang, Ales Leonardis:
PointPoseNet: Point Pose Network for Robust 6D Object Pose Estimation. WACV 2020: 2813-2822 - [i39]Daniel Hernández Juárez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory G. Slabaugh, Steven McDonagh:
A Multi-Hypothesis Approach to Color Constancy. CoRR abs/2002.12896 (2020) - [i38]Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Ales Leonardis:
G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features. CoRR abs/2003.11089 (2020) - [i37]Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem. CoRR abs/2003.13296 (2020) - [i36]Bolun Zheng, Shanxin Yuan, Gregory G. Slabaugh,