Publications for Wanli Ouyang 2021 2020

Publications for Wanli Ouyang 2021 2020

Publications for Wanli Ouyang 2021 Chen, Z., Ouyang, W., Liu, T., Tao, D. (2021). A Shape Li, Y., Wang, Q., Zhang, J., Hu, L., Ouyang, W. (2021). The Transformation-based Dataset Augmentation Framework for theoretical research of generative adversarial networks: an Pedestrian Detection. International Journal of Computer overview. Neurocomputing, 435, 26-41. <a Vision, 129(4), 1121-1138. <a href="http://dx.doi.org/10.1016/j.neucom.2020.12.114">[More href="http://dx.doi.org/10.1007/s11263-020-01412-0">[More Information]</a> Information]</a> Pang, J., Chen, K., Li, Q., Xu, Z., Feng, H., Shi, J., Ouyang, W., Lu, G., Zhang, X., Ouyang, W., Chen, L., Gao, Z., Xu, D. Lin, D. (2021). Towards Balanced Learning for Instance (2021). An End-to-End Learning Framework for Video Recognition. International Journal of Computer Vision, 129(5), Compression. IEEE Transactions on Pattern Analysis and 1376-1393. <a href="http://dx.doi.org/10.1007/s11263-021- Machine Intelligence, 43(10), 3292-3308. <a 01434-2">[More Information]</a> href="http://dx.doi.org/10.1109/TPAMI.2020.2988453">[More Information]</a> 2020 Zhang, Z., Xu, D., Ouyang, W., Zhou, L. (2021). Dense Video Gu, J., Wang, Z., Ouyang, W., Zhang, W., Li, J., Zhuo, L. Captioning using Graph-based Sentence Summarization. IEEE (2020). 3D hand pose estimation with disentangled cross-modal Transactions on Multimedia, 18, 1807. <a latent space. 2020 IEEE Winter Conference on Applications of href="http://dx.doi.org/10.1109/TMM.2020.3003592">[More Computer Vision (WACV 2020), Piscataway: Institute of Information]</a> Electrical and Electronics Engineers (IEEE). <a href="http://dx.doi.org/10.1109/WACV45572.2020.9093316">[ Su, R., Xu, D., Zhou, L., Ouyang, W. (2021). Improving More Information]</a> Weakly Supervised Temporal Action Localization by Exploiting Multi-Resolution Information in Temporal Domain. Zeng, W., Ouyang, W., Luo, P., Liu, W., Wang, X. (2020). 3D IEEE Transactions on Image Processing, 30, 6659-6672. <a Human Mesh Regression with Dense Correspondence. 2020 href="http://dx.doi.org/10.1109/TIP.2021.3089355">[More IEEE/CVF Conference on Computer Vision and Pattern Information]</a> Recognition (CVPR 2020), Seattle: Institute of Electrical and Electronics Engineers (IEEE). <a Guo, J., Zhang, W., Ouyang, W., Xu, D. (2021). Model href="http://dx.doi.org/10.1109/CVPR42600.2020.00708">[Mo Compression Using Progressive Channel Pruning. IEEE re Information]</a> Transactions on Circuits and Systems for Video Technology, 31(3), 1114-1124. <a Yang, X., Wang, B., Chen, K., Zhou, X., Yi, S., Ouyang, W., href="http://dx.doi.org/10.1109/TCSVT.2020.2996231">[More Zhou, L. (2020). BriNet: Towards Bridging the Intra-class and Information]</a> Inter-class Gaps in One-Shot Segmentation. 31st British Machine Vision Virtual Conference (BMVC 2020), Manchester: Huang, L., Huang, Y., Ouyang, W., Wang, L. (2021). Modeling The British Machine Vision Association. Sub-Actions for Weakly Supervised Temporal Action Localization. IEEE Transactions on Image Processing, 30, Guo, J., Ouyang, W., Xu, D. (2020). Channel Pruning Guided 5154-5167. <a by Classification Loss and Feature Importance. The Thirty- href="http://dx.doi.org/10.1109/TIP.2021.3078324">[More Fourth AAAI Conference on Artificial Intelligence (AAAI-20), Information]</a> Palo Alto: AAAI Press. <a href="http://dx.doi.org/10.1609/aaai.v34i07.6720">[More Su, R., Xu, D., Sheng, L., Ouyang, W. (2021). PCG-TAL: Information]</a> Progressive Cross-Granularity Cooperation for Temporal Action Localization. IEEE Transactions on Image Processing, Zhou, D., Zhou, X., Zhang, H., Yi, S., Ouyang, W. (2020). 30, 2103-2113. <a Cheaper Pre-training Lunch: An Efficient Paradigm for Object href="http://dx.doi.org/10.1109/TIP.2020.3044218">[More Detection. 16th European Conference on Computer Vision Information]</a> (ECCV 2020), Cham: Springer. <a href="http://dx.doi.org/10.1007/978-3-030-58598-3_16">[More Su, R., Xu, D., Zhou, L., Ouyang, W. (2021). Progressive Cross- Information]</a> stream Cooperation in Spatial and Temporal Domain for Action Localization [In Press]. IEEE Transactions on Pattern Analysis Liang, F., Lin, C., Guo, R., Sun, M., Wu, W., Yan, J., Ouyang, and Machine Intelligence. <a W. (2020). Computation Reallocation for Object Detection. 8th href="http://dx.doi.org/10.1109/TPAMI.2020.2997860">[More International Conference on Learning Representations (ICLR Information]</a> 2020), Virtual, Formerly Addis Ababa: International Conference on Representation Learning (ICLR). Zhang, W., Xu, D., Zhang, J., Ouyang, W. (2021). Progressive Modality Cooperation for Multi-Modality Domain Adaptation. Lu, G., Cai, C., Zhang, X., Chen, L., Ouyang, W., Xu, D., Gao, IEEE Transactions on Image Processing, 30, 3293-3306. <a Z. (2020). Content Adaptive and Error Propagation Aware href="http://dx.doi.org/10.1109/TIP.2021.3052083">[More Deep Video Compression. 16th European Conference on Information]</a> Computer Vision (ECCV 2020), Cham: Springer. <a href="http://dx.doi.org/10.1007/978-3-030-58536-5_27">[More Zhang, W., Xu, D., Ouyang, W., Li, W. (2021). Self-Paced Information]</a> Collaborative and Adversarial Network for Unsupervised Domain Adaptation. IEEE Transactions on Pattern Analysis Chu, Q., Ouyang, W., Liu, B., Zhu, F., Yu, N. (2020). DASOT: and Machine Intelligence, 43(6), 2047-2061. <a A Unified Framework Integrating Data Association and Single href="http://dx.doi.org/10.1109/TPAMI.2019.2962476">[More Object Tracking for Online Multi-Object Tracking. The Thirty- Information]</a> Fourth AAAI Conference on Artificial Intelligence (AAAI-20), Palo Alto: AAAI Press. <a Hu, Z., Chen, Z., Xu, D., Lu, G., Ouyang, W., Gu, S. (2020). href="http://dx.doi.org/10.1609/aaai.v34i07.6694">[More Improving Deep Video Compression by�Resolution- Information]</a> Adaptive Flow Coding. 16th European Conference on Computer Vision (ECCV 2020), Cham: Springer. <a Liu, L., Ouyang, W., Wang, X., Fieguth, P., Chen, J., Liu, X., href="http://dx.doi.org/10.1007/978-3-030-58536-5_12">[More Pietikainen, M. (2020). Deep learning for generic object Information]</a> detection: A survey. International Journal of Computer Vision, 128(2), 261-318. <a href="http://dx.doi.org/10.1007/s11263- Niu, K., Huang, Y., Ouyang, W., Wang, L. (2020). Improving 019-01247-4">[More Information]</a> Description-Based Person Re-Identification by Multi- Granularity Image-Text Alignments. IEEE Transactions on Lu, G., Zhang, X., Ouyang, W., Xu, D., Chen, L., Gao, Z. Image Processing, 29, 5542-5556. <a (2020). Deep Non-Local Kalman Filtering Network for Video href="http://dx.doi.org/10.1109/TIP.2020.2984883">[More Compression Artifact Reduction. IEEE Transactions on Image Information]</a> Processing, 29, 1725-1737. <a href="http://dx.doi.org/10.1109/TIP.2019.2943214">[More Li, X., Lin, C., Li, C., Sun, M., Wu, W., Yan, J., Ouyang, W. Information]</a> (2020). Improving One-shot NAS by Suppressing the Posterior Fading. 2020 IEEE/CVF Conference on Computer Vision and Jin, S., Liu, W., Xie, E., Wang, W., Qian, C., Ouyang, W., Luo, Pattern Recognition (CVPR 2020), Seattle: Institute of P. (2020). Differentiable Hierarchical Graph Grouping for Electrical and Electronics Engineers (IEEE). <a Multi-person Pose Estimation. 16th European Conference on href="http://dx.doi.org/10.1109/CVPR42600.2020.01385">[Mo Computer Vision (ECCV 2020), Cham: Springer. <a re Information]</a> href="http://dx.doi.org/10.1007/978-3-030-58571-6_42">[More Information]</a> Hu, Z., Chung, V., Ouyang, W., Chen, X., Chen, Z. (2020). Light field reconstruction using hierarchical features fusion. Liu, Z., Zhang, H., Chen, Z., Wang, Z., Ouyang, W. (2020). Expert Systems with Applications, 151, 1-11. <a Disentangling and Unifying Graph Convolutions for Skeleton- href="http://dx.doi.org/10.1016/j.eswa.2020.113394">[More Based Action Recognition. 2020 IEEE/CVF Conference on Information]</a> Computer Vision and Pattern Recognition (CVPR 2020), Seattle: Institute of Electrical and Electronics Engineers (IEEE). Guo, J., Ouyang, W., Xu, D. (2020). Multi-Dimensional <a Pruning: A Unified Framework for Model Compression. 2020 href="http://dx.doi.org/10.1109/CVPR42600.2020.00022">[Mo IEEE/CVF Conference on Computer Vision and Pattern re Information]</a> Recognition (CVPR 2020), Seattle: Institute of Electrical and Electronics Engineers (IEEE). <a Zhou, D., Zhou, X., Zhang, W., Loy, C., Yi, S., Zhang, X., href="http://dx.doi.org/10.1109/CVPR42600.2020.00158">[Mo Ouyang, W. (2020). EcoNAS: Finding Proxies for Economical re Information]</a> Neural Architecture Search. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Pan, Y., Xue, J., Zhang, P., Ouyang, W., Fang, J., Chen, X. Seattle: Institute of Electrical and Electronics Engineers (IEEE). (2020). Navigation Command Matching for Vision-based <a Autonomous Driving. 2020 International Conference on href="http://dx.doi.org/10.1109/CVPR42600.2020.01141">[Mo Robotics and Automation (ICRA 2020), Paris: Institute of re Information]</a> Electrical and Electronics Engineers (IEEE). <a href="http://dx.doi.org/10.1109/ICRA40945.2020.9196609">[M Liu, L., Pietikainen, M., Qin, J., Ouyang, W., Van Gool, L. ore Information]</a> (2020). Efficient Visual Recognition. International Journal of Computer Vision, 128, 1997-2001. <a Huang, L., Huang, Y., Ouyang, W., Wang, L. (2020). Part- href="http://dx.doi.org/10.1007/s11263-020-01351-w">[More Level Graph Convolutional Network for Skeleton-Based Action Information]</a> Recognition. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), Palo Alto: AAAI Press. <a Tan, J., Wang, C., Li, B., Li, Q., Ouyang, W., Yin, C., Yan, J. href="http://dx.doi.org/10.1609/aaai.v34i07.6759">[More (2020). Equalization Loss for Long-Tailed Object Recognition. Information]</a> 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle: Institute of Electrical and Chen, D., Zhang, S., Ouyang, W., Yang, J., Tai, Y. (2020). Electronics Engineers (IEEE). <a Person Search by Separated Modeling and A Mask-Guided href="http://dx.doi.org/10.1109/CVPR42600.2020.01168">[Mo Two-Stream CNN Model.

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