Learning and Vision Lab, ECE, NUS

Journal Papers 2019

  1. Tong He, Ru Kong, Avram J. Holmes, Minh Nguyen, Mert R. Sabuncu, Simon B. Eickhoff, Danilo Bzdok, Jiashi Feng, B.T. Thomas Yeo. "Deep Neural Networks and Kernel Regression Achieve Comparable Accuracies for Functional Connectivity Prediction of Behavior and Demographics", in NeuroImage, 2019.
  2. Xiaopeng Zhang, Yang Yang, Hongkai Xiong, Jiashi Feng. "PML-LocNet: Improving Object Localization with Prior-induced Multi-view Learning Network", in IEEE Transactions on Image Processing (TIP), 2019.
  3. Jian Zhao, Junliang Xing, Lin Xiong, Shuicheng Yan, Jiashi Feng. "Recognizing Profile Faces by Imagining Frontal View", in International Journal of Computer Vision (IJCV), 2019.
  4. Wei Wang, Siyuan Hao, Yunchao Wei, Shengtao Xiao, Jiashi Feng, Nicu Sebe. "Temporal Spiking Recurrent Neural Network for Action Recognition", in IEEE Access 7(1), 117165-117175, 2019.
  5. Pan Zhou, Xiaotong Yuan, Shuicheng Yan, Jiashi Feng. "Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds", in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.
  6. Pengfei Ge, Chuanxian Ren, Daoqing Dai, Jiashi Feng, Shuicheng Yan. "Dual Adversarial Auto-Encoder for Clustering", in IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019.
  7. Jian Zhao, Jianshu Li, Hengzhu Liu, Shuicheng Yan, Jiashi Feng. "Fine-Grained Multi-Human Parsing", in International Journal of Computer Vision (IJCV), 2019.
  8. Wenhan Yang, Robby Tan, Jiashi Feng, Jiaying Liu, Zongming Guo, Shuicheng Yan. "Joint Rain Detection and Removal from a Single Image with Contextualized Deep Networks", in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.
  9. Thi Khanh Hien Le, Gabriel Peyre, Cuong V. Nguyen, Huan Xu, Canyi Lu, Jiashi Feng. "Accelerated Randomized Mirror Descent Algorithms for Composite Non-Strongly Convex Optimization", in Journal of Optimization Theory and Applications (JOTA), 181 (2), 541-566, 2019.
  10. Xuecheng Nie, Jiashi Feng, Junliang Xing, Shengtao Xiao, Shuicheng Yan. "Hierarchical Contextual Refinement Networks for Human Pose Estimation", in IEEE Transactions on Image Processing (TIP), 28 (2), 924-936, 2019.
  11. Mengmi Zhang, Joo Hwee Lim, Qi Zhao, Jiashi Feng. "Anticipating Where People Will Look Using Adversarial Networks", in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 41 (8), 1783-1796, 2019.
  12. Ping Li, Jiashi Feng, Xiaojie Jin, Luming Zhang, Xianghua Xu, Shuicheng Yan. "Online Robust Low-Rank Tensor Modeling for Streaming Data Analysis", in IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 30 (4), 1061-1075, 2019.
  13. Wei Wang, Yan Yan, Zhen Cui, Jiashi Feng, Shuicheng Yan, Nicu Sebe. "Recurrent Face Aging with Hierarchical AutoRegressive Memory", in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 41 (3), 654-668, 2019.
  14. Canyi Lu, Jiashi Feng, Zhouchen Lin, Tao Mei, Shuicheng Yan. "Subspace Clustering by Block Diagonal Representation", in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 41 (2), 487-510, 2019.
  15. Jianshu Li, Luoqi Liu, Jianan Li, Jiashi Feng, Shuicheng Yan, Terence Sim. "Towards a Comprehensive Face Detector in the Wild", in IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 29 (1), 104-114, 2019.

Conference Papers 2019

  1. Pan Zhou, Xiaotong Yuan, Huan Xu, Shuicheng Yan, Jiashi Feng. "Efficient Meta Learning via Minibatch Proximal Update", in Neural Information Processing Systems (NIPS), 2019 (spotlight paper).
  2. Bingyi Kang*, Zhuang Liu*, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell. "Few-shot Object Detection via Feature Reweighting", in IEEE International Conference on Computer Vision (ICCV), 2019.
  3. Yunpeng Chen, Haoqi Fan, Bing Xu, Zhicheng Yan, Yannis Kalantidis, Marcus Rohrbach, Shuicheng Yan, Jiashi Feng. "Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution", in IEEE International Conference on Computer Vision (ICCV), 2019.
  4. Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng. "PANet: Few-shot Image Semantic Segmentation with Prototype Alignment", in IEEE International Conference on Computer Vision (ICCV), 2019.
  5. Xuecheng Nie, Jianfeng Zhang, Shuicheng Yan, Jiashi Feng. "Single-stage Multi-person Pose Machines", in IEEE International Conference on Computer Vision (ICCV), 2019.
  6. Xuecheng Nie, Yuncheng Li, Linjie Luo, Ning Zhang, Jiashi Feng. "Dynamic Kernel Distillation for Efficient Pose Estimation in Videos", in IEEE International Conference on Computer Vision (ICCV), 2019.
  7. Jun Hao Liew, Scott Cohen, Brian Price, Long Mai, Sim-Heng Ong, Jiashi Feng. "MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations from Minimal User Input", in IEEE International Conference on Computer Vision (ICCV), 2019.
  8. Lingxiao He, Yinggang Wang, Wu Liu, He Zhao, Zhenan Sun, Jiashi Feng. "Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification", in IEEE International Conference on Computer Vision (ICCV), 2019.
  9. Jian Zhao, Yu Cheng, Yi Cheng, Yang Yang, Fang Zhao, Jianshu Li, Hengzhu Liu, Shuicheng Yan, Jiashi Feng. "Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition", in AAAI Conference on Artificial Intelligence (AAAI), 2019 (oral).
  10. Li Yuan, Ping Li, Li Zhou, Francis Tay, Jiashi Feng. "Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video Summarization", in AAAI Conference on Artificial Intelligence (AAAI), 2019.
  11. Xiaopeng Zhang, Yang Yang, Jiashi Feng. "Learning to Localize Objects with Noisy Labeled Instances', in AAAI Conference on Artificial Intelligence (AAAI), 2019.
  12. Jianshu Li, Pan Zhou, Yunpeng Chen, Jian Zhao, Sujoy Roy, Yan Shuicheng, Jiashi Feng, Terence Sim. "Task Relation Networks", in IEEE Winter Conference on Applications of Computer Vision (WACV), 2019.
  13. Jian Zhao, Jianshu Li, Xiaoguang Tu, Fang Zhao, Yuan Xin, Junliang Xing, Hengzhu Liu, Shuicheng Yan, Jiashi Feng. "Multi-Prototype Networks for Unconstrained Set-based Face Recognition", in International Joint Conference on Artificial Intelligence (IJCAI), 2019 (oral).
  14. Hu Zhang, Pan Zhou, Yi Yang, Jiashi Feng. "Generalized Majorization-Minimization for Non-Convex Optimization", in International Joint Conference on Artificial Intelligence (IJCAI), 2019.
  15. Yuan Hu, Yunpeng Chen, Xiang Li, Jiashi Feng. "Dynamic Feature Fusion for Semantic Edge Detection", in International Joint Conference on Artificial Intelligence (IJCAI), 2019.
  16. Wenhan Yang, Jiaying Liu, Jiashi Feng. "Frame-Consistent Recurrent Video Deraining With Dual-Level Flow", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
  17. Tao Wang, Li Yuan, Xiaopeng Zhang, Jiashi Feng. "Distilling Object Detectors With Fine-Grained Feature Imitation", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
  18. Tao Wang, Xiaopeng Zhang, Li Yuan, Jiashi Feng. "Few-Shot Adaptive Faster R-CNN", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
  19. Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Yan Shuicheng, Jiashi Feng, Yannis Kalantidis. "Graph-Based Global Reasoning Networks", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
  20. Xin Li, Yiming Zhou, Zheng Pan, Jiashi Feng. "Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
  21. Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang. "A Simple Pooling-Based Design for Real-Time Salient Object Detection", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
  22. Pan Zhou, Xiaotong Yuan, Jiashi Feng. "Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds", in International Conference on Artificial Intelligence and Statistics (AISTATS), 2019.