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2020 – today
- 2023
[j13]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li
, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023)- [j12]Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Yukang Chen, Lu Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia:
Fully Convolutional Networks for Panoptic Segmentation With Point-Based Supervision. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4552-4568 (2023) - [j11]Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi:
ST3D++: Denoised Self-Training for Unsupervised Domain Adaptation on 3D Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6354-6371 (2023) - [j10]Kaibin Huang, Hai Wu, Zhiyan Liu, Xiaojuan Qi:
In-Situ Model Downloading to Realize Versatile Edge AI in 6G Mobile Networks. IEEE Wirel. Commun. 30(3): 96-102 (2023) - [c68]Yingxian Chen, Zhengzhe Liu, Baoheng Zhang, Wilton W. T. Fok, Xiaojuan Qi, Yik-Chung Wu:
MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection. AAAI 2023: 387-395 - [c67]Xiaoyan Qian, Chang Liu, Xiaojuan Qi, Siew-Chong Tan, Edmund Y. Lam, Ngai Wong:
Context-Aware Transformer for 3D Point Cloud Automatic Annotation. AAAI 2023: 2082-2090 - [c66]Zhuotao Tian, Jiequan Cui, Li Jiang, Xiaojuan Qi, Xin Lai, Yixin Chen, Shu Liu, Jiaya Jia:
Learning Context-Aware Classifier for Semantic Segmentation. AAAI 2023: 2438-2446 - [c65]Yizhao Gao, Baoheng Zhang, Xiaojuan Qi, Hayden Kwok-Hay So:
DPACS: Hardware Accelerated Dynamic Neural Network Pruning through Algorithm-Architecture Co-design. ASPLOS (2) 2023: 237-251 - [c64]Peng Dai, Yinda Zhang, Xin Yu, Xiaoyang Lyu, Xiaojuan Qi:
Hybrid Neural Rendering for Large-Scale Scenes with Motion Blur. CVPR 2023: 154-164 - [c63]Runyu Ding, Jihan Yang, Chuhui Xue, Wenqing Zhang, Song Bai, Xiaojuan Qi:
PLA: Language-Driven Open-Vocabulary 3D Scene Understanding. CVPR 2023: 7010-7019 - [c62]Ruihang Chu, Zhengzhe Liu, Xiaoqing Ye, Xiao Tan, Xiaojuan Qi, Chi-Wing Fu, Jiaya Jia:
Command-driven Articulated Object Understanding and Manipulation. CVPR 2023: 8813-8823 - [c61]Jiahui Liu, Chirui Chang, Jianhui Liu, Xiaoyang Wu, Lan Ma, Xiaojuan Qi:
MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds. CVPR 2023: 9372-9381 - [c60]Yukang Chen, Jianhui Liu, Xiangyu Zhang, Xiaojuan Qi, Jiaya Jia:
LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs. CVPR 2023: 13488-13498 - [c59]Zhisheng Zhong, Jiequan Cui, Yibo Yang, Xiaoyang Wu, Xiaojuan Qi, Xiangyu Zhang, Jiaya Jia:
Understanding Imbalanced Semantic Segmentation Through Neural Collapse. CVPR 2023: 19550-19559 - [c58]Yukang Chen, Jianhui Liu, Xiangyu Zhang, Xiaojuan Qi, Jiaya Jia:
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking. CVPR 2023: 21674-21683 - [c57]Hao Tang, Xiaojuan Qi, Guolei Sun, Dan Xu, Nicu Sebe, Radu Timofte, Luc Van Gool:
Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis. ICLR 2023 - [c56]Ruifei He, Shuyang Sun, Xin Yu, Chuhui Xue, Wenqing Zhang, Philip H. S. Torr, Song Bai, Xiaojuan Qi:
Is Synthetic Data from Generative Models Ready for Image Recognition? ICLR 2023 - [c55]Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu:
ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation. ICLR 2023 - [i79]Zhisheng Zhong, Jiequan Cui, Yibo Yang, Xiaoyang Wu, Xiaojuan Qi, Xiangyu Zhang, Jiaya Jia:
Understanding Imbalanced Semantic Segmentation Through Neural Collapse. CoRR abs/2301.01100 (2023) - [i78]Xiaoyang Lyu, Peng Dai, Zizhang Li, Dongyu Yan, Yi Lin, Yifan Peng, Xiaojuan Qi:
Learning a Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation. CoRR abs/2303.09152 (2023) - [i77]Yukang Chen, Jianhui Liu, Xiangyu Zhang, Xiaojuan Qi, Jiaya Jia:
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking. CoRR abs/2303.11301 (2023) - [i76]Zhuotao Tian, Jiequan Cui, Li Jiang, Xiaojuan Qi, Xin Lai, Yixin Chen, Shu Liu, Jiaya Jia:
Learning Context-aware Classifier for Semantic Segmentation. CoRR abs/2303.11633 (2023) - [i75]Jianhui Liu, Yukang Chen, Xiaoqing Ye, Xiaojuan Qi:
Prior-free Category-level Pose Estimation with Implicit Space Transformation. CoRR abs/2303.13479 (2023) - [i74]Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu:
One Thing One Click++: Self-Training for Weakly Supervised 3D Scene Understanding. CoRR abs/2303.14727 (2023) - [i73]Xiaoyan Qian, Chang Liu, Xiaojuan Qi, Siew-Chong Tan, Edmund Y. Lam, Ngai Wong:
Context-Aware Transformer for 3D Point Cloud Automatic Annotation. CoRR abs/2303.14893 (2023) - [i72]Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu:
ISS++: Image as Stepping Stone for Text-Guided 3D Shape Generation. CoRR abs/2303.15181 (2023) - [i71]Jihan Yang, Runyu Ding, Zhe Wang, Xiaojuan Qi:
RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding. CoRR abs/2304.00962 (2023) - [i70]Peng Dai, Yinda Zhang, Xin Yu, Xiaoyang Lyu, Xiaojuan Qi:
Hybrid Neural Rendering for Large-Scale Scenes with Motion Blur. CoRR abs/2304.12652 (2023) - [i69]Jiequan Cui, Zhuotao Tian, Zhisheng Zhong, Xiaojuan Qi, Bei Yu, Hanwang Zhang:
Decoupled Kullback-Leibler Divergence Loss. CoRR abs/2305.13948 (2023) - [i68]Ning Lin, Shaocong Wang, Yi Li, Bo Wang, Shuhui Shi, Yangu He, Woyu Zhang, Yifei Yu, Yue Zhang, Xiaojuan Qi, Xiaoming Chen, Hao Jiang, Xumeng Zhang, Peng Lin, Xiaoxin Xu, Qi Liu, Zhongrui Wang, Dashan Shang, Ming Liu:
Resistive memory-based zero-shot liquid state machine for multimodal event data learning. CoRR abs/2307.00771 (2023) - [i67]Jiahui Liu, Chirui Chang, Jianhui Liu, Xiaoyang Wu, Lan Ma, Xiaojuan Qi:
MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds. CoRR abs/2307.09316 (2023) - [i66]Runyu Ding, Jihan Yang, Chuhui Xue, Wenqing Zhang, Song Bai, Xiaojuan Qi:
Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding. CoRR abs/2308.00353 (2023) - [i65]Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Zhengzhe Liu, Xiaojuan Qi:
Texture Generation on 3D Meshes with Point-UV Diffusion. CoRR abs/2308.10490 (2023) - [i64]Xiuzhe Wu, Pengfei Hu, Yang Wu, Xiaoyang Lyu, Yan-Pei Cao, Ying Shan, Wenming Yang, Zhongqian Sun, Xiaojuan Qi:
Speech2Lip: High-fidelity Speech to Lip Generation by Learning from a Short Video. CoRR abs/2309.04814 (2023) - 2022
- [j9]Chang Liu, Xiaojuan Qi, Edmund Y. Lam, Ngai Wong:
Fast Classification and Action Recognition With Event-Based Imaging. IEEE Access 10: 55638-55649 (2022) - [j8]Xiaojuan Qi, Zhengzhe Liu, Renjie Liao, Philip H. S. Torr, Raquel Urtasun, Jiaya Jia:
GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 969-984 (2022) - [c54]Anlin Zheng, Yuang Zhang, Xiangyu Zhang, Xiaojuan Qi, Jian Sun:
Progressive End-to-End Object Detection in Crowded Scenes. CVPR 2022: 847-856 - [c53]Ruihang Chu, Xiaoqing Ye, Zhengzhe Liu, Xiao Tan, Xiaojuan Qi, Chi-Wing Fu, Jiaya Jia:
TWIST: Two-Way Inter-label Self-Training for Semi-supervised 3D Instance Segmentation. CVPR 2022: 1090-1099 - [c52]Yanwei Li, Xiaojuan Qi, Yukang Chen, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia:
Voxel Field Fusion for 3D Object Detection. CVPR 2022: 1110-1119 - [c51]Yi Zhou, Hui Zhang, Hana Lee, Shuyang Sun, Pingjun Li, Yangguang Zhu, ByungIn Yoo, Xiaojuan Qi, Jae-Joon Han:
Slot-VPS: Object-centric Representation Learning for Video Panoptic Segmentation. CVPR 2022: 3083-3093 - [c50]Xin Lai, Jianhui Liu, Li Jiang, Liwei Wang, Hengshuang Zhao, Shu Liu, Xiaojuan Qi, Jiaya Jia:
Stratified Transformer for 3D Point Cloud Segmentation. CVPR 2022: 8490-8499 - [c49]Ruifei He, Shuyang Sun, Jihan Yang, Song Bai, Xiaojuan Qi:
Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability. CVPR 2022: 9151-9161 - [c48]Andong Wang, Wei-Ning Lee, Xiaojuan Qi:
HINT: Hierarchical Neuron Concept Explainer. CVPR 2022: 10244-10254 - [c47]Peng Dai, Xin Yu, Lan Ma, Baoheng Zhang, Jia Li, Wenbo Li, Jiajun Shen, Xiaojuan Qi:
Video Demoiréing with Relation-Based Temporal Consistency. CVPR 2022: 17601-17610 - [c46]Zhengzhe Liu, Yi Wang, Xiaojuan Qi, Chi-Wing Fu:
Towards Implicit Text-Guided 3D Shape Generation. CVPR 2022: 17875-17885 - [c45]Runyu Ding, Jihan Yang, Li Jiang, Xiaojuan Qi:
DODA: Data-Oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation. ECCV (27) 2022: 284-303 - [c44]Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Jiajun Shen, Jia Li, Xiaojuan Qi:
Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoiréing. ECCV (18) 2022: 646-662 - [c43]Chang Liu, Xiaoyan Qian, Binxiao Huang, Xiaojuan Qi, Edmund Y. Lam, Siew-Chong Tan, Ngai Wong:
Multimodal Transformer for Automatic 3D Annotation and Object Detection. ECCV (38) 2022: 657-673 - [c42]Chang Liu, Xiaoyan Qian, Xiaojuan Qi, Edmund Y. Lam, Siew-Chong Tan, Ngai Wong:
MAP-Gen: An Automated 3D-Box Annotation Flow with Multimodal Attention Point Generator. ICPR 2022: 1148-1155 - [c41]Yanwei Li, Yilun Chen, Xiaojuan Qi, Zeming Li, Jian Sun, Jiaya Jia:
Unifying Voxel-based Representation with Transformer for 3D Object Detection. NeurIPS 2022 - [c40]Jianhui Liu, Yukang Chen, Xiaoqing Ye, Zhuotao Tian, Xiao Tan, Xiaojuan Qi:
Spatial Pruned Sparse Convolution for Efficient 3D Object Detection. NeurIPS 2022 - [c39]Chuofan Ma, Qiushan Guo, Yi Jiang, Ping Luo, Zehuan Yuan, Xiaojuan Qi:
Rethinking Resolution in the Context of Efficient Video Recognition. NeurIPS 2022 - [c38]Xin Wen, Bingchen Zhao, Anlin Zheng, Xiangyu Zhang, Xiaojuan Qi:
Self-Supervised Visual Representation Learning with Semantic Grouping. NeurIPS 2022 - [c37]Jihan Yang, Shaoshuai Shi, Runyu Ding, Zhe Wang, Xiaojuan Qi:
Towards Efficient 3D Object Detection with Knowledge Distillation. NeurIPS 2022 - [c36]Shizhen Zhao, Xiaojuan Qi:
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection. NeurIPS 2022 - [i63]Ruifei He, Shuyang Sun, Jihan Yang, Song Bai, Xiaojuan Qi:
Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability. CoRR abs/2203.05180 (2022) - [i62]Anlin Zheng, Yuang Zhang, Xiangyu Zhang, Xiaojuan Qi, Jian Sun:
Progressive End-to-End Object Detection in Crowded Scenes. CoRR abs/2203.07669 (2022) - [i61]Andong Wang, Wei-Ning Lee, Xiaojuan Qi:
HINT: Hierarchical Neuron Concept Explainer. CoRR abs/2203.14196 (2022) - [i60]Xin Lai, Jianhui Liu, Li Jiang, Liwei Wang, Hengshuang Zhao, Shu Liu, Xiaojuan Qi, Jiaya Jia:
Stratified Transformer for 3D Point Cloud Segmentation. CoRR abs/2203.14508 (2022) - [i59]Zhengzhe Liu, Yi Wang, Xiaojuan Qi, Chi-Wing Fu:
Towards Implicit Text-Guided 3D Shape Generation. CoRR abs/2203.14622 (2022) - [i58]Chang Liu, Xiaoyan Qian, Xiaojuan Qi, Edmund Y. Lam, Siew-Chong Tan, Ngai Wong:
MAP-Gen: An Automated 3D-Box Annotation Flow with Multimodal Attention Point Generator. CoRR abs/2203.15700 (2022) - [i57]Runyu Ding, Jihan Yang, Li Jiang, Xiaojuan Qi:
DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Indoor Semantic Segmentation. CoRR abs/2204.01599 (2022) - [i56]Peng Dai, Xin Yu, Lan Ma, Baoheng Zhang, Jia Li, Wenbo Li, Jiajun Shen, Xiaojuan Qi:
Video Demoireing with Relation-Based Temporal Consistency. CoRR abs/2204.02957 (2022) - [i55]Jihan Yang, Shaoshuai Shi, Runyu Ding, Zhe Wang, Xiaojuan Qi:
Towards Efficient 3D Object Detection with Knowledge Distillation. CoRR abs/2205.15156 (2022) - [i54]Xin Wen, Bingchen Zhao, Anlin Zheng, Xiangyu Zhang, Xiaojuan Qi:
Self-Supervised Visual Representation Learning with Semantic Grouping. CoRR abs/2205.15288 (2022) - [i53]Yanwei Li, Xiaojuan Qi, Yukang Chen, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia:
Voxel Field Fusion for 3D Object Detection. CoRR abs/2205.15938 (2022) - [i52]Yanwei Li, Yilun Chen, Xiaojuan Qi, Zeming Li, Jian Sun, Jiaya Jia:
Unifying Voxel-based Representation with Transformer for 3D Object Detection. CoRR abs/2206.00630 (2022) - [i51]Yukang Chen, Jianhui Liu, Xiaojuan Qi, Xiangyu Zhang, Jian Sun, Jiaya Jia:
Scaling up Kernels in 3D CNNs. CoRR abs/2206.10555 (2022) - [i50]Chang Liu, Xiaoyan Qian, Binxiao Huang, Xiaojuan Qi, Edmund Y. Lam, Siew-Chong Tan, Ngai Wong:
Multimodal Transformer for Automatic 3D Annotation and Object Detection. CoRR abs/2207.09805 (2022) - [i49]Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Jiajun Shen, Jia Li, Xiaojuan Qi:
Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing. CoRR abs/2207.09935 (2022) - [i48]Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu:
ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation. CoRR abs/2209.04145 (2022) - [i47]Chuofan Ma, Qiushan Guo, Yi Jiang, Zehuan Yuan, Ping Luo, Xiaojuan Qi:
Rethinking Resolution in the Context of Efficient Video Recognition. CoRR abs/2209.12797 (2022) - [i46]Jianhui Liu, Yukang Chen, Xiaoqing Ye, Zhuotao Tian, Xiao Tan, Xiaojuan Qi:
Spatial Pruned Sparse Convolution for Efficient 3D Object Detection. CoRR abs/2209.14201 (2022) - [i45]Kaibin Huang, Hai Wu, Zhiyan Liu, Xiaojuan Qi:
In-situ Model Downloading to Realize Versatile Edge AI in 6G Mobile Networks. CoRR abs/2210.03555 (2022) - [i44]Shizhen Zhao, Xiaojuan Qi:
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection. CoRR abs/2210.05593 (2022) - [i43]Ruifei He, Shuyang Sun, Xin Yu, Chuhui Xue, Wenqing Zhang, Philip H. S. Torr, Song Bai, Xiaojuan Qi:
Is synthetic data from generative models ready for image recognition? CoRR abs/2210.07574 (2022) - [i42]Fernando Julio Cendra, Lan Ma, Jiajun Shen, Xiaojuan Qi:
SL3D: Self-supervised-Self-labeled 3D Recognition. CoRR abs/2210.16810 (2022) - [i41]Xin Wen, Bingchen Zhao, Xiaojuan Qi:
A Simple Parametric Classification Baseline for Generalized Category Discovery. CoRR abs/2211.11727 (2022) - [i40]Yingxian Chen, Zhengzhe Liu, Baoheng Zhang, Wilton W. T. Fok, Xiaojuan Qi, Yik-Chung Wu:
MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection. CoRR abs/2211.15098 (2022) - [i39]Runyu Ding, Jihan Yang, Chuhui Xue, Wenqing Zhang, Song Bai, Xiaojuan Qi:
Language-driven Open-Vocabulary 3D Scene Understanding. CoRR abs/2211.16312 (2022) - [i38]Hai Wu, Ruifei He, Haoru Tan, Xiaojuan Qi, Kaibin Huang:
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference. CoRR abs/2212.05326 (2022) - 2021
- [j7]Qichuan Geng, Hong Zhang, Xiaojuan Qi, Gao Huang, Ruigang Yang, Zhong Zhou:
Gated Path Selection Network for Semantic Segmentation. IEEE Trans. Image Process. 30: 2436-2449 (2021) - [j6]Xiaomeng Li, Xiaowei Hu, Xiaojuan Qi, Lequan Yu, Wei Zhao, Pheng-Ann Heng, Lei Xing:
Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis. IEEE Trans. Medical Imaging 40(9): 2284-2294 (2021) - [c35]Mutian Xu, Junhao Zhang, Zhipeng Zhou, Mingye Xu, Xiaojuan Qi, Yu Qiao:
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. AAAI 2021: 3056-3064 - [c34]Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia:
Fully Convolutional Networks for Panoptic Segmentation. CVPR 2021: 214-223 - [c33]Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu:
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation. CVPR 2021: 1726-1736 - [c32]Mutian Xu, Runyu Ding, Hengshuang Zhao, Xiaojuan Qi:
PAConv: Position Adaptive Convolution With Dynamic Kernel Assembling on Point Clouds. CVPR 2021: 3173-3182 - [c31]Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu:
3D-to-2D Distillation for Indoor Scene Parsing. CVPR 2021: 4464-4474 - [c30]Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi:
ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection. CVPR 2021: 10368-10378 - [c29]Shuyang Sun, Xiaoyu Yue, Xiaojuan Qi, Wanli Ouyang, Victor Prisacariu, Philip H. S. Torr:
Aggregation with Feature Detection. ICCV 2021: 507-516 - [c28]Ruifei He, Jihan Yang, Xiaojuan Qi:
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation. ICCV 2021: 6910-6920 - [i37]Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi:
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection. CoRR abs/2103.05346 (2021) - [i36]Chang Liu, Xiaojuan Qi, Edmund Y. Lam, Ngai Wong:
AET-EFN: A Versatile Design for Static and Dynamic Event-Based Vision. CoRR abs/2103.11645 (2021) - [i35]Mutian Xu, Runyu Ding, Hengshuang Zhao, Xiaojuan Qi:
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds. CoRR abs/2103.14635 (2021) - [i34]Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu:
3D-to-2D Distillation for Indoor Scene Parsing. CoRR abs/2104.02243 (2021) - [i33]Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu:
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation. CoRR abs/2104.02246 (2021) - [i32]Ruifei He, Jihan Yang, Xiaojuan Qi:
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation. CoRR abs/2107.11279 (2021) - [i31]Botos Csaba, Xiaojuan Qi, Arslan Chaudhry, Puneet K. Dokania, Philip H. S. Torr:
Multilevel Knowledge Transfer for Cross-Domain Object Detection. CoRR abs/2108.00977 (2021) - [i30]Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi:
ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection. CoRR abs/2108.06682 (2021) - [i29]Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Yukang Chen, Lu Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia:
Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision. CoRR abs/2108.07682 (2021) - [i28]Yi Zhou, Hui Zhang, Hana Lee, Shuyang Sun, Pingjun Li, Yangguang Zhu, ByungIn Yoo, Xiaojuan Qi, Jae-Joon Han:
Slot-VPS: Object-centric Representation Learning for Video Panoptic Segmentation. CoRR abs/2112.08949 (2021) - [i27]Jin Gao, Yan Lu, Xiaojuan Qi, Yutong Kou, Bing Li, Liang Li, Shan Yu, Weiming Hu:
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking. CoRR abs/2112.14016 (2021) - 2020
- [c27]Jihan Yang, Ruijia Xu, Ruiyu Li, Xiaojuan Qi, Xiaoyong Shen, Guanbin Li, Liang Lin:
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation. AAAI 2020: 12613-12620 - [c26]Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H. S. Torr:
ManiGAN: Text-Guided Image Manipulation. CVPR 2020: 7877-7886 - [c25]Zhengzhe Liu, Xiaojuan Qi, Philip H. S. Torr:
Global Texture Enhancement for Fake Face Detection in the Wild. CVPR 2020: 8057-8066 - [c24]Qizhu Li, Xiaojuan Qi, Philip H. S. Torr:
Unifying Training and Inference for Panoptic Segmentation. CVPR 2020: 13317-13325 - [c23]Ruizheng Wu, Huaijia Lin, Xiaojuan Qi, Jiaya Jia:
Memory Selection Network for Video Propagation. ECCV (15) 2020: 175-190 - [c22]Feihu Zhang, Xiaojuan Qi, Ruigang Yang, Victor Prisacariu, Benjamin W. Wah, Philip H. S. Torr:
Domain-Invariant Stereo Matching Networks. ECCV (2) 2020: 420-439 - [c21]Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H. S. Torr, Piotr Koniusz:
Few-Shot Action Recognition with Permutation-Invariant Attention. ECCV (5) 2020: 525-542 - [c20]Zetong Yang, Yanan Sun, Shu Liu, Xiaojuan Qi, Jiaya Jia:
CN: Channel Normalization for Point Cloud Recognition. ECCV (10) 2020: 600-616 - [c19]Bowen Li, Xiaojuan Qi, Philip H. S. Torr, Thomas Lukasiewicz:
Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation. NeurIPS 2020 - [i26]