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2020 – today
- 2024
[j42]Chuankun Li, Yonghong Hou, Wanqing Li
, Zewei Ding, Pichao Wang:
DFN: A deep fusion network for flexible single and multi-modal action recognition. Expert Syst. Appl. 245: 123145 (2024)- [j41]Henry Hengyuan Zhao, Pichao Wang, Yuyang Zhao, Hao Luo, Fan Wang, Mike Zheng Shou:
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels. Int. J. Comput. Vis. 132(3): 731-749 (2024) - [c46]Wenhao Li, Mengyuan Liu, Hong Liu, Pichao Wang, Jialun Cai, Nicu Sebe:
Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation. CVPR 2024: 604-613 - [c45]Jiamian Wang, Pichao Wang, Guohao Sun, Dongfang Liu, Sohail A. Dianat, Raghuveer Rao, Majid Rabbani, Zhiqiang Tao:
Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval. CVPR 2024: 16551-16560 - [c44]Bo Dong, Pichao Wang, Hao Luo, Fan Wang:
Adaptive Query Selection for Camouflaged Instance Segmentation. ACM Multimedia 2024: 6598-6606 - [c43]Jiaqi Wang, Pichao Wang, Yi Feng, Huafeng Liu, Chang Gao, Liping Jing:
Align2Concept: Language Guided Interpretable Image Recognition by Visual Prototype and Textual Concept Alignment. ACM Multimedia 2024: 8972-8981 - [i57]Jiamian Wang, Guohao Sun, Pichao Wang, Dongfang Liu, Sohail A. Dianat, Majid Rabbani, Raghuveer Rao, Zhiqiang Tao:
Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval. CoRR abs/2403.17998 (2024) - [i56]Zechen Bai, Pichao Wang, Tianjun Xiao, Tong He, Zongbo Han, Zheng Zhang, Mike Zheng Shou:
Hallucination of Multimodal Large Language Models: A Survey. CoRR abs/2404.18930 (2024) - [i55]Zechen Bai, Tianjun Xiao, Tong He, Pichao Wang, Zheng Zhang, Thomas Brox, Mike Zheng Shou:
GQE: Generalized Query Expansion for Enhanced Text-Video Retrieval. CoRR abs/2408.07249 (2024) - [i54]Zechen Bai, Tong He, Haiyang Mei, Pichao Wang, Ziteng Gao, Joya Chen, Lei Liu, Zheng Zhang, Mike Zheng Shou:
One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos. CoRR abs/2409.19603 (2024) - 2023
- [j40]Jingkai Zhou, Pichao Wang, Jiasheng Tang, Fan Wang, Qiong Liu, Hao Li, Rong Jin:
What Limits the Performance of Local Self-attention? Int. J. Comput. Vis. 131(10): 2516-2528 (2023) - [j39]Zihui Guo, Yonghong Hou, Pichao Wang, Zhimin Gao, Mingliang Xu, Wanqing Li:
FT-HID: a large-scale RGB-D dataset for first- and third-person human interaction analysis. Neural Comput. Appl. 35(2): 2007-2024 (2023) - [j38]Benjia Zhou, Pichao Wang, Jun Wan, Yanyan Liang, Fan Wang:
A Unified Multimodal De- and Re-Coupling Framework for RGB-D Motion Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11428-11442 (2023) - [j37]Shanshan Wang, Lei Zhang, Pichao Wang, Mengzhu Wang, Xingyi Zhang:
BP-triplet net for unsupervised domain adaptation: A Bayesian perspective. Pattern Recognit. 133: 108993 (2023) - [j36]Wenhao Li, Hong Liu, Hao Tang, Pichao Wang:
Multi-hypothesis representation learning for transformer-based 3D human pose estimation. Pattern Recognit. 141: 109631 (2023) - [j35]Wenhao Li, Hong Liu, Runwei Ding, Mengyuan Liu, Pichao Wang, Wenming Yang:
Exploiting Temporal Contexts With Strided Transformer for 3D Human Pose Estimation. IEEE Trans. Multim. 25: 1282-1293 (2023) - [c42]Bo Dong, Pichao Wang, Fan Wang:
Head-Free Lightweight Semantic Segmentation with Linear Transformer. AAAI 2023: 516-524 - [c41]Dongyang Li, Hao Luo, Pichao Wang, Zhibin Wang, Shang Liu, Fan Wang:
Frequency Domain Disentanglement for Arbitrary Neural Style Transfer. AAAI 2023: 1287-1295 - [c40]Shuning Chang, Pichao Wang, Fan Wang, Jiashi Feng, Mike Zheng Shou:
DOAD: Decoupled One Stage Action Detection Network. CVPR Workshops 2023: 3123-3232 - [c39]Shuning Chang, Pichao Wang, Ming Lin, Fan Wang, David Junhao Zhang, Rong Jin, Mike Zheng Shou:
Making Vision Transformers Efficient from A Token Sparsification View. CVPR 2023: 6195-6205 - [c38]Jue Wang, Wentao Zhu, Pichao Wang, Xiang Yu, Linda Liu, Mohamed Omar, Raffay Hamid:
Selective Structured State-Spaces for Long-Form Video Understanding. CVPR 2023: 6387-6397 - [c37]Qitao Zhao, Ce Zheng, Mengyuan Liu, Pichao Wang, Chen Chen:
PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation. CVPR 2023: 8877-8886 - [c36]Sarah Ibrahimi, Xiaohang Sun, Pichao Wang, Amanmeet Garg, Ashutosh Sanan, Mohamed Omar:
Audio-Enhanced Text-to-Video Retrieval using Text-Conditioned Feature Alignment. ICCV 2023: 12020-12030 - [c35]Shuning Chang, Pichao Wang, Hao Luo, Fan Wang, Mike Zheng Shou:
Revisiting Vision Transformer from the View of Path Ensemble. ICCV 2023: 19832-19842 - [c34]Yujun Ma, Benjia Zhou, Ruili Wang, Pichao Wang:
Multi-stage Factorized Spatio-Temporal Representation for RGB-D Action and Gesture Recognition. ACM Multimedia 2023: 3149-3160 - [i53]Bo Dong, Pichao Wang, Fan Wang:
Head-Free Lightweight Semantic Segmentation with Linear Transformer. CoRR abs/2301.04648 (2023) - [i52]Hengyuan Zhao, Hao Luo, Yuyang Zhao, Pichao Wang, Fan Wang, Mike Zheng Shou:
Revisit Parameter-Efficient Transfer Learning: A Two-Stage Paradigm. CoRR abs/2303.07910 (2023) - [i51]Shuning Chang, Pichao Wang, Ming Lin, Fan Wang, David Junhao Zhang, Rong Jin, Mike Zheng Shou:
Making Vision Transformers Efficient from A Token Sparsification View. CoRR abs/2303.08685 (2023) - [i50]Hansheng Chen, Wei Tian, Pichao Wang, Fan Wang, Lu Xiong, Hao Li:
EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation. CoRR abs/2303.12787 (2023) - [i49]Jue Wang, Wentao Zhu, Pichao Wang, Xiang Yu, Linda Liu, Mohamed Omar, Raffay Hamid:
Selective Structured State-Spaces for Long-Form Video Understanding. CoRR abs/2303.14526 (2023) - [i48]Qitao Zhao, Ce Zheng, Mengyuan Liu, Pichao Wang, Chen Chen:
PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation. CoRR abs/2303.17472 (2023) - [i47]Shuning Chang, Pichao Wang, Fan Wang, Jiashi Feng, Mike Zheng Shou:
DOAD: Decoupled One Stage Action Detection Network. CoRR abs/2304.00254 (2023) - [i46]Sarah Ibrahimi, Xiaohang Sun, Pichao Wang, Amanmeet Garg, Ashutosh Sanan, Mohamed Omar:
Audio-Enhanced Text-to-Video Retrieval using Text-Conditioned Feature Alignment. CoRR abs/2307.12964 (2023) - [i45]Shuning Chang, Pichao Wang, Hao Luo, Fan Wang, Mike Zheng Shou:
Revisiting Vision Transformer from the View of Path Ensemble. CoRR abs/2308.06548 (2023) - [i44]Yujun Ma, Benjia Zhou, Ruili Wang, Pichao Wang:
Multi-stage Factorized Spatio-Temporal Representation for RGB-D Action and Gesture Recognition. CoRR abs/2308.12006 (2023) - [i43]Henry Hengyuan Zhao, Pichao Wang, Yuyang Zhao, Hao Luo, Fan Wang, Mike Zheng Shou:
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels. CoRR abs/2309.08513 (2023) - [i42]Lijuan Zhou, Xiang Meng, Zhihuan Liu, Mengqi Wu, Zhimin Gao, Pichao Wang:
Human Pose-based Estimation, Tracking and Action Recognition with Deep Learning: A Survey. CoRR abs/2310.13039 (2023) - [i41]Wenhao Li, Mengyuan Liu, Hong Liu, Pichao Wang, Jialun Cai, Nicu Sebe:
Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation. CoRR abs/2311.12028 (2023) - 2022
- [j34]Xiangyu Li, Yonghong Hou, Pichao Wang, Zhimin Gao, Mingliang Xu, Wanqing Li:
Trear: Transformer-Based RGB-D Egocentric Action Recognition. IEEE Trans. Cogn. Dev. Syst. 14(1): 246-252 (2022) - [j33]Liang Han, Pichao Wang, Zhaozheng Yin, Fan Wang, Hao Li:
Class-Aware Feature Aggregation Network for Video Object Detection. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8165-8178 (2022) - [c33]Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin:
Scaled ReLU Matters for Training Vision Transformers. AAAI 2022: 2495-2503 - [c32]Zhimin Gao, Peitao Wang, Pei Lv, Xiaoheng Jiang, Qidong Liu, Pichao Wang, Mingliang Xu, Wanqing Li:
Focal and Global Spatial-Temporal Transformer for Skeleton-Based Action Recognition. ACCV (4) 2022: 155-171 - [c31]Hansheng Chen, Pichao Wang, Fan Wang, Wei Tian, Lu Xiong, Hao Li:
EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation. CVPR 2022: 2771-2780 - [c30]Wenhao Li, Hong Liu, Hao Tang, Pichao Wang, Luc Van Gool:
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation. CVPR 2022: 13137-13146 - [c29]Benjia Zhou, Pichao Wang, Jun Wan, Yanyan Liang, Fan Wang, Du Zhang, Zhen Lei, Hao Li, Rong Jin:
Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition. CVPR 2022: 20122-20131 - [c28]Zhaoyuan Yin, Pichao Wang, Fan Wang, Xianzhe Xu, Hanling Zhang, Hao Li, Rong Jin:
TransFGU: A Top-Down Approach to Fine-Grained Unsupervised Semantic Segmentation. ECCV (29) 2022: 73-89 - [c27]Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Hao Li, Rong Jin:
KVT: k-NN Attention for Boosting Vision Transformers. ECCV (24) 2022: 285-302 - [c26]Pichao Wang, Fan Wang, Hao Li:
Image-to-Video Re-Identification via Mutual Discriminative Knowledge Transfer. ICASSP 2022: 2125-2129 - [c25]Tongkun Xu, Weihua Chen, Pichao Wang, Fan Wang, Hao Li, Rong Jin:
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation. ICLR 2022 - [c24]Shuning Chang, Pichao Wang, Fan Wang, Hao Li, Zheng Shou:
Augmented Transformer with Adaptive Graph for Temporal Action Proposal Generation. HCMA@MM 2022: 41-50 - [c23]Zhenyu Wang, Hao Luo, Pichao Wang, Feng Ding, Fan Wang, Hao Li:
VTC-LFC: Vision Transformer Compression with Low-Frequency Components. NeurIPS 2022 - [i40]Pichao Wang, Fan Wang, Hao Li:
Image-to-Video Re-Identification via Mutual Discriminative Knowledge Transfer. CoRR abs/2201.08887 (2022) - [i39]Shanshan Wang, Lei Zhang, Pichao Wang:
BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective. CoRR abs/2202.09541 (2022) - [i38]Hansheng Chen, Pichao Wang, Fan Wang, Wei Tian, Lu Xiong, Hao Li:
EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation. CoRR abs/2203.13254 (2022) - [i37]Zihui Guo, Yonghong Hou, Pichao Wang, Zhimin Gao, Mingliang Xu, Wanqing Li:
FT-HID: A Large Scale RGB-D Dataset for First and Third Person Human Interaction Analysis. CoRR abs/2209.10155 (2022) - [i36]Benjia Zhou, Pichao Wang, Jun Wan, Yanyan Liang, Fan Wang:
Effective Vision Transformer Training: A Data-Centric Perspective. CoRR abs/2209.15006 (2022) - [i35]Zhimin Gao, Peitao Wang, Pei Lv, Xiaoheng Jiang, Qidong Liu, Pichao Wang, Mingliang Xu, Wanqing Li:
Focal and Global Spatial-Temporal Transformer for Skeleton-based Action Recognition. CoRR abs/2210.02693 (2022) - [i34]Benjia Zhou, Pichao Wang, Jun Wan, Yanyan Liang, Fan Wang:
A Unified Multimodal De- and Re-coupling Framework for RGB-D Motion Recognition. CoRR abs/2211.09146 (2022) - 2021
- [j32]Liang Han, Pichao Wang, Zhaozheng Yin, Fan Wang, Hao Li:
Context and Structure Mining Network for Video Object Detection. Int. J. Comput. Vis. 129(10): 2927-2946 (2021) - [j31]Xiangyu Li, Yonghong Hou, Pichao Wang, Zhimin Gao, Mingliang Xu, Wanqing Li:
Transformer guided geometry model for flow-based unsupervised visual odometry. Neural Comput. Appl. 33(13): 8031-8042 (2021) - [j30]Zitong Yu, Xiaobai Li, Pichao Wang, Guoying Zhao:
TransRPPG: Remote Photoplethysmography Transformer for 3D Mask Face Presentation Attack Detection. IEEE Signal Process. Lett. 28: 1290-1294 (2021) - [j29]Zitong Yu, Benjia Zhou, Jun Wan, Pichao Wang, Haoyu Chen, Xin Liu, Stan Z. Li, Guoying Zhao:
Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition. IEEE Trans. Image Process. 30: 5626-5640 (2021) - [j28]Chang Tang, Xinwang Liu, Shan An, Pichao Wang:
BR$^2$Net: Defocus Blur Detection Via a Bidirectional Channel Attention Residual Refining Network. IEEE Trans. Multim. 23: 624-635 (2021) - [c22]Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin:
Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition. ICCV 2021: 337-346 - [c21]Shuting He, Hao Luo, Pichao Wang, Fan Wang, Hao Li, Wei Jiang:
TransReID: Transformer-based Object Re-Identification. ICCV 2021: 14993-15002 - [i33]Xiangyu Li, Yonghong Hou, Pichao Wang, Zhimin Gao, Mingliang Xu, Wanqing Li:
Transformer Guided Geometry Model for Flow-Based Unsupervised Visual Odometry. CoRR abs/2101.02143 (2021) - [i32]Xiangyu Li, Yonghong Hou, Pichao Wang, Zhimin Gao, Mingliang Xu, Wanqing Li:
Trear: Transformer-based RGB-D Egocentric Action Recognition. CoRR abs/2101.03904 (2021) - [i31]Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin:
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition. CoRR abs/2102.01063 (2021) - [i30]Shuting He, Hao Luo, Pichao Wang, Fan Wang, Hao Li, Wei Jiang:
TransReID: Transformer-based Object Re-Identification. CoRR abs/2102.04378 (2021) - [i29]Wenhao Li, Hong Liu, Runwei Ding, Mengyuan Liu, Pichao Wang:
Lifting Transformer for 3D Human Pose Estimation in Video. CoRR abs/2103.14304 (2021) - [i28]Shuning Chang, Pichao Wang, Fan Wang, Hao Li, Jiashi Feng:
Augmented Transformer with Adaptive Graph for Temporal Action Proposal Generation. CoRR abs/2103.16024 (2021) - [i27]Zitong Yu, Xiaobai Li, Pichao Wang, Guoying Zhao:
TransRPPG: Remote Photoplethysmography Transformer for 3D Mask Face Presentation Attack Detection. CoRR abs/2104.07419 (2021) - [i26]Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Wen Xie, Hao Li, Rong Jin:
KVT: k-NN Attention for Boosting Vision Transformers. CoRR abs/2106.00515 (2021) - [i25]Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin:
Scaled ReLU Matters for Training Vision Transformers. CoRR abs/2109.03810 (2021) - [i24]Tongkun Xu, Weihua Chen, Pichao Wang, Fan Wang, Hao Li, Rong Jin:
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation. CoRR abs/2109.06165 (2021) - [i23]Hao Luo, Pichao Wang, Yi Xu, Feng Ding, Yanxin Zhou, Fan Wang, Hao Li, Rong Jin:
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification. CoRR abs/2111.12084 (2021) - [i22]Wenhao Li, Hong Liu, Hao Tang, Pichao Wang, Luc Van Gool:
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation. CoRR abs/2111.12707 (2021) - [i21]Zhaoyuan Yin, Pichao Wang, Fan Wang, Xianzhe Xu, Hanling Zhang, Hao Li, Rong Jin:
TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation. CoRR abs/2112.01515 (2021) - [i20]Benjia Zhou, Pichao Wang, Jun Wan, Yanyan Liang, Fan Wang, Du Zhang, Zhen Lei, Hao Li, Rong Jin:
Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition. CoRR abs/2112.09129 (2021) - [i19]Jingkai Zhou, Pichao Wang, Fan Wang, Qiong Liu, Hao Li, Rong Jin:
ELSA: Enhanced Local Self-Attention for Vision Transformer. CoRR abs/2112.12786 (2021) - 2020
- [j27]Haoyuan Zhang, Yonghong Hou, Pichao Wang, Zihui Guo, Wanqing Li:
SAR-NAS: Skeleton-based action recognition via neural architecture searching. J. Vis. Commun. Image Represent. 73: 102942 (2020) - [j26]Zhimin Gao, Pichao Wang, Huogen Wang, Mingliang Xu, Wanqing Li:
A Review of Dynamic Maps for 3D Human Motion Recognition Using ConvNets and Its Improvement. Neural Process. Lett. 52(2): 1501-1515 (2020) - [j25]Huogen Wang, Zhanjie Song, Wanqing Li, Pichao Wang:
A Hybrid Network for Large-Scale Action Recognition from RGB and Depth Modalities. Sensors 20(11): 3305 (2020) - [c20]Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Kun Sun, Pichao Wang, Lizhe Wang, Albert Y. Zomaya:
R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features. AAAI 2020: 12063-12070 - [c19]Liang Han, Pichao Wang, Zhaozheng Yin, Fan Wang, Hao Li:
Exploiting Better Feature Aggregation for Video Object Detection. ACM Multimedia 2020: 1469-1477 - [i18]Jingkun Gao, Xiaomin Song, Qingsong Wen, Pichao Wang, Liang Sun, Huan Xu:
RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks. CoRR abs/2002.09545 (2020) - [i17]Zitong Yu, Benjia Zhou, Jun Wan, Pichao Wang, Haoyu Chen, Xin Liu, Stan Z. Li, Guoying Zhao:
Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition. CoRR abs/2008.09412 (2020) - [i16]Haoyuan Zhang, Yonghong Hou, Pichao Wang, Zihui Guo, Wanqing Li:
SAR-NAS: Skeleton-based Action Recognition via Neural Architecture Searching. CoRR abs/2010.15336 (2020)
2010 – 2019
- 2019
- [j24]Chuankun Li, Yonghong Hou, Wanqing Li, Pichao Wang:
Learning attentive dynamic maps (ADMs) for Understanding Human Actions. J. Vis. Commun. Image Represent. 65 (2019) - [j23]Chang Tang, Meiru Bian, Xinwang Liu, Miaomiao Li, Hua Zhou, Pichao Wang, Hailin Yin:
Unsupervised feature selection via latent representation learning and manifold regularization. Neural Networks 117: 163-178 (2019) - [j22]Chuankun Li, Yonghong Hou, Pichao Wang, Wanqing Li:
Multiview-Based 3-D Action Recognition Using Deep Networks. IEEE Trans. Hum. Mach. Syst. 49(1): 95-104 (2019) - [j21]Chang Tang, Xinzhong Zhu, Xinwang Liu, Miaomiao Li, Pichao Wang, Changqing Zhang, Lizhe Wang:
Learning a Joint Affinity Graph for Multiview Subspace Clustering. IEEE Trans. Multim. 21(7): 1724-1736 (2019) - [j20]Chang Tang, Xinwang Liu, Pichao Wang, Changqing Zhang, Miaomiao Li, Lizhe Wang:
Adaptive Hypergraph Embedded Semi-Supervised Multi-Label Image Annotation. IEEE Trans. Multim. 21(11): 2837-2849 (2019) - [c18]Xianzhe Xu, Yonghong Hou, Pichao Wang, Zhongyu Jiang, Wanqing Li:
Light Weight Stereo Matching via Deep Extraction and Integration of Low and High Level Information. ICME 2019: 320-325 - [c17]Renyi Xiao, Yonghong Hou, Zihui Guo, Chuankun Li, Pichao Wang, Wanqing Li:
Self-Attention Guided Deep Features for Action Recognition. ICME 2019: 1060-1065 - [c16]Chang Tang, Xinzhong Zhu, Xinwang Liu, Pichao Wang:
Salient Object Detection via Recurrently Aggregating Spatial Attention Weighted Cross-Level Deep Features. ICME 2019: 1546-1551 - [c15]Xiangyu Li, Yonghong Hou, Qi Wu, Pichao Wang, Wanqing Li:
DVONet: Unsupervised Monocular Depth Estimation and Visual Odometry. VCIP 2019: 1-4 - 2018
- [j19]Yonghong Hou, Shuang Wang, Pichao Wang, Zhimin Gao, Wanqing Li:
Spatially and Temporally Structured Global to Local Aggregation of Dynamic Depth Information for Action Recognition. IEEE Access 6: 2206-2219 (2018) - [j18]Pichao Wang, Wanqing Li, Philip Ogunbona, Jun Wan, Sergio Escalera:
RGB-D-based human motion recognition with deep learning: A survey. Comput. Vis. Image Underst. 171: 118-139 (2018) - [j17]Chang Tang, Xinzhong Zhu, Jiajia Chen, Pichao Wang, Xinwang Liu, Jie Tian:
Robust graph regularized unsupervised feature selection. Expert Syst. Appl. 96: 64-76 (2018) - [j16]Xinzhong Zhu, Chang Tang, Pichao Wang, Huiying Xu, Minhui Wang, Jiajia Chen, Jie Tian:
Saliency detection via affinity graph learning and weighted manifold ranking. Neurocomputing 312: 239-250 (2018) - [j15]Chang Tang, Wanqing Li, Pichao Wang, Lizhe Wang:
Online human action recognition based on incremental learning of weighted covariance descriptors. Inf. Sci. 467: 219-237 (2018) - [j14]Chang Tang, Xinwang Liu, Miaomiao Li, Pichao Wang, Jiajia Chen, Lizhe Wang, Wanqing Li:
Robust unsupervised feature selection via dual self-representation and manifold regularization. Knowl. Based Syst. 145: 109-120 (2018) - [j13]Pichao Wang, Wanqing Li, Chuankun Li, Yonghong Hou:
Action recognition based on joint trajectory maps with convolutional neural networks. Knowl. Based Syst. 158: 43-53 (2018) - [j12]Chang Tang, Jiajia Chen, Xinwang Liu, Miaomiao Li, Pichao Wang, Minhui Wang, Peng Lu:
Consensus learning guided multi-view unsupervised feature selection. Knowl. Based Syst. 160: 49-60 (2018) - [j11]Yonghong Hou, Zhaoyang Li, Pichao Wang, Wanqing Li:
Skeleton Optical Spectra-Based Action Recognition Using Convolutional Neural Networks. IEEE Trans. Circuits Syst. Video Technol. 28(3): 807-811 (2018) - [j10]Pichao Wang, Wanqing Li, Zhimin Gao, Chang Tang, Philip O. Ogunbona:
Depth Pooling Based Large-Scale 3-D Action Recognition With Convolutional Neural Networks. IEEE Trans. Multim. 20(5): 1051-1061 (2018) - [c14]Pichao Wang, Wanqing Li, Jun Wan, Philip Ogunbona, Xinwang Liu:
Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition. AAAI 2018: 7404-7411 - [i15]Pichao Wang, Wanqing Li, Jun Wan, Philip Ogunbona, Xinwang Liu:
Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition. CoRR abs/1801.01080 (2018) - [i14]Pichao Wang, Wanqing Li, Zhimin Gao, Chang Tang, Philip Ogunbona:
Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks. CoRR abs/1804.01194 (2018) - 2017
- [j9]Chang Tang, Chunping Hou, Yonghong Hou, Pichao Wang, Wanqing Li:
An effective edge-preserving smoothing method for image manipulation. Digit. Signal Process. 63: 10-24 (2017) - [j8]Chang Tang, Pichao Wang, Changqing Zhang, Wanqing Li:
Salient Object Detection via Weighted Low Rank Matrix Recovery. IEEE Signal Process. Lett. 24(4): 490-494 (2017) - [j7]Chuankun Li, Yonghong Hou, Pichao Wang, Wanqing Li:
Joint Distance Maps Based Action Recognition With Convolutional Neural Networks. IEEE Signal Process. Lett. 24(5): 624-628 (2017) - [c13]Pichao Wang, Wanqing Li, Zhimin Gao, Yuyao Zhang, Chang Tang, Philip Ogunbona:
Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition with Convolutional Neural Networks. CVPR 2017: 416-425 - [c12]Pichao Wang, Shuang Wang, Zhimin Gao, Yonghong Hou, Wanqing Li:
Structured Images for RGB-D Action Recognition. ICCV Workshops 2017: 1005-1014 - [c11]Huogen Wang, Pichao Wang, Zhanjie Song, Wanqing Li:
Large-Scale Multimodal Gesture Recognition Using Heterogeneous Networks. ICCV Workshops 2017: 3129-3137 - [c10]Huogen Wang, Pichao Wang, Zhanjie Song, Wanqing Li:
Large-Scale Multimodal Gesture Segmentation and Recognition Based on Convolutional Neural Networks. ICCV Workshops 2017: 3138-3146 - [c9]Chuankun Li, Pichao Wang, Shuang Wang, Yonghong Hou, Wanqing Li:
Skeleton-based action recognition using LSTM and CNN. ICME Workshops 2017: 585-590 - [c8]Zewei Ding, Pichao Wang, Philip O. Ogunbona, Wanqing Li:
Investigation of different skeleton features for CNN-based 3D action recognition. ICME Workshops 2017: 617-622 - [c7]Zewei Ding, Wanqing Li, Pichao Wang, Philip Ogunbona, Ling Qin:
Weakly structured information aggregation for upper-body posture assessment using ConvNets. ICME 2017: 1512-1517 - [i13]Pichao Wang, Wanqing Li, Song Liu, Zhimin Gao, Chang Tang, Philip Ogunbona:
Large-scale Isolated Gesture Recognition Using Convolutional Neural Networks. CoRR abs/1701.01814 (2017) - [i12]Pichao Wang, Wanqing Li, Zhimin Gao, Yuyao Zhang, Chang Tang, Philip Ogunbona:
Scene Flow to Action Map: A New Representation for RGB-D based Action Recognition with Convolutional Neural Networks. CoRR abs/1702.08652 (2017) - [i11]Zewei Ding, Pichao Wang, Philip O. Ogunbona, Wanqing Li:
Investigation of Different Skeleton Features for CNN-based 3D Action Recognition. CoRR abs/1705.00835 (2017) - [i10]Chuankun Li, Pichao Wang, Shuang Wang, Yonghong Hou, Wanqing Li:
Skeleton-based Action Recognition Using LSTM and CNN. CoRR abs/1707.02356 (2017) - [i9]Pichao Wang, Wanqing Li, Philip Ogunbona, Jun Wan, Sergio Escalera:
RGB-D-based Human Motion Recognition with Deep Learning: A Survey. CoRR abs/1711.08362 (2017) - 2016
- [j6]Chang Tang, Chunping Hou, Pichao Wang, Zhanjie Song:
Salient object detection using color spatial distribution and minimum spanning tree weight. Multim. Tools Appl. 75(12): 6963-6978 (2016) - [j5]Jing Zhang, Wanqing Li, Philip O. Ogunbona, Pichao Wang, Chang Tang:
RGB-D-based action recognition datasets: A survey. Pattern Recognit. 60: 86-105 (2016) - [j4]Chang Tang, Jin Wu, Yonghong Hou, Pichao Wang, Wanqing Li:
A Spectral and Spatial Approach of Coarse-to-Fine Blurred Image Region Detection. IEEE Signal Process. Lett. 23(11): 1652-1656 (2016) - [j3]Pichao Wang, Wanqing Li, Zhimin Gao, Jing Zhang, Chang Tang, Philip O. Ogunbona:
Action Recognition From Depth Maps Using Deep Convolutional Neural Networks. IEEE Trans. Hum. Mach. Syst. 46(4): 498-509 (2016) - [c6]Pichao Wang, Wanqing Li, Song Liu, Zhimin Gao, Chang Tang, Philip Ogunbona:
Large-scale Isolated Gesture Recognition using Convolutional Neural Networks. ICPR 2016: 7-12 - [c5]Pichao Wang, Wanqing Li, Song Liu, Yuyao Zhang, Zhimin Gao, Philip Ogunbona:
Large-scale Continuous Gesture Recognition Using Convolutional Neural Networks. ICPR 2016: 13-18 - [c4]Jing Zhang, Wanqing Li, Pichao Wang, Philip Ogunbona, Song Liu, Chang Tang:
A Large Scale RGB-D Dataset for Action Recognition. UHA3DS@ICPR 2016: 101-114 - [c3]Pichao Wang, Zhaoyang Li, Yonghong Hou, Wanqing Li:
Action Recognition Based on Joint Trajectory Maps Using Convolutional Neural Networks. ACM Multimedia 2016: 102-106 - [i8]Jing Zhang, Wanqing Li, Philip O. Ogunbona, Pichao Wang, Chang Tang:
RGB-D-based Action Recognition Datasets: A Survey. CoRR abs/1601.05511 (2016) - [i7]Pichao Wang, Zhaoyang Li, Yonghong Hou, Wanqing Li:
Combining ConvNets with Hand-Crafted Features for Action Recognition Based on an HMM-SVM Classifier. CoRR abs/1602.00749 (2016) - [i6]Pichao Wang, Wanqing Li, Song Liu, Yuyao Zhang, Zhimin Gao, Philip Ogunbona:
Large-scale Continuous Gesture Recognition Using Convolutional Neutral Networks. CoRR abs/1608.06338 (2016) - [i5]Pichao Wang, Zhaoyang Li, Yonghong Hou, Wanqing Li:
Action Recognition Based on Joint Trajectory Maps Using Convolutional Neural Networks. CoRR abs/1611.02447 (2016) - [i4]Pichao Wang, Wanqing Li, Chuankun Li, Yonghong Hou:
Action Recognition Based on Joint Trajectory Maps with Convolutional Neural Networks. CoRR abs/1612.09401 (2016) - 2015
- [j2]Yonghong Hou, Pichao Wang, Wei Xiang, Zhimin Gao, Chunping Hou:
A novel rate control algorithm for video coding based on fuzzy-PID controller. Signal Image Video Process. 9(4): 875-884 (2015) - [c2]Pichao Wang, Wanqing Li, Zhimin Gao, Chang Tang, Jing Zhang, Philip Ogunbona:
ConvNets-Based Action Recognition from Depth Maps through Virtual Cameras and Pseudocoloring. ACM Multimedia 2015: 1119-1122 - [i3]Pichao Wang, Wanqing Li, Zhimin Gao, Jing Zhang, Chang Tang, Philip Ogunbona:
Deep Convolutional Neural Networks for Action Recognition Using Depth Map Sequences. CoRR abs/1501.04686 (2015) - [i2]Chang Tang, Wanqing Li, Chunping Hou, Pichao Wang, Yonghong Hou, Jing Zhang, Philip O. Ogunbona:
Online Action Recognition based on Incremental Learning of Weighted Covariance Descriptors. CoRR abs/1511.03028 (2015) - 2014
- [c1]Pichao Wang, Wanqing Li, Philip Ogunbona, Zhimin Gao, Hanling Zhang:
Mining Mid-Level Features for Action Recognition Based on Effective Skeleton Representation. DICTA 2014: 1-8 - [i1]Pichao Wang, Wanqing Li, Philip Ogunbona, Zhimin Gao, Hanling Zhang:
Mining Mid-level Features for Action Recognition Based on Effective Skeleton Representation. CoRR abs/1409.4014 (2014) - 2013
- [j1]Qing Wang, Hua Chen, Guohuang Zhao, Bin Chen, Pichao Wang:
An Improved Direction Finding Algorithm Based on Toeplitz Approximation. Sensors 13(1): 746-757 (2013)
Coauthor Index
[j42] [j39] [j34] [c32] [i37] [i35] [j31] [i33] [i32] [j27] [j26] [j25] [i16] [j24] [j22] [c18] [c17] [c15] [j19] [j18] [j15] [j14] [j13] [j11] [j10] [c14] [i15] [i14] [j9] [j8] [j7] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [i13] [i12] [i11] [i10] [i9] [j5] [j4] [j3] [c6] [c5] [c4] [c3] [i8] [i7] [i6] [i5] [i4] [c2] [i3] [i2] [c1] [i1]
Philip Ogunbona
aka: Philip O. Ogunbona
aka: Philip O. Ogunbona
Zheng Shou 0001
aka: Mike Zheng Shou
aka: Mike Zheng Shou
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