27 citations · 96 across the 17 of their papers we have counts for
17 papers
Learning-Based Adaptive Optimal Control of Linear Time-Delay Systems: A Policy Iteration Approach
Leilei Cui, Bo Pang, Zhong-Ping Jiang
This paper studies the adaptive optimal control problem for a class of linear time-delay systems described by delay differential equations (DDEs). A crucial strategy is to take adv…
Unsupervised Visual Representation Learning by Synchronous Momentum Grouping
Bo Pang, Yifan Zhang, Yaoyi Li +2
In this paper, we propose a genuine group-level contrastive visual representation learning method whose linear evaluation performance on ImageNet surpasses the vanilla supervised l…
End-to-end Dense Video Captioning as Sequence Generation
Wanrong Zhu, Bo Pang, Ashish V. Thapliyal +2
Dense video captioning aims to identify the events of interest in an input video, and generate descriptive captions for each event. Previous approaches usually follow a two-stage g…
Semantic Segmentation by Early Region Proxy
Yifan Zhang, Bo Pang, Cewu Lu
Typical vision backbones manipulate structured features. As a compromise, semantic segmentation has long been modeled as per-point prediction on dense regular grids. In this work,…
Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems
Bo Pang, Zhong-Ping Jiang
This paper studies the adaptive optimal stationary control of continuous-time linear stochastic systems with both additive and multiplicative noises, using reinforcement learning t…
PGT: A Progressive Method for Training Models on Long Videos
Bo Pang, Gao Peng, Yizhuo Li +1
Convolutional video models have an order of magnitude larger computational complexity than their counterpart image-level models. Constrained by computational resources, there is no…
TDAF: Top-Down Attention Framework for Vision Tasks
Bo Pang, Yizhuo Li, Jiefeng Li +3
Human attention mechanisms often work in a top-down manner, yet it is not well explored in vision research. Here, we propose the Top-Down Attention Framework (TDAF) to capture top-…
Multimodal Pretraining for Dense Video Captioning
Gabriel Huang, Bo Pang, Zhenhai Zhu +2
Learning specific hands-on skills such as cooking, car maintenance, and home repairs increasingly happens via instructional videos. The user experience with such videos is known to…
Fully Unsupervised Person Re-identification viaSelective Contrastive Learning
Bo Pang, Deming Zhai, Junjun Jiang +1
Person re-identification (ReID) aims at searching the same identity person among images captured by various cameras. Unsupervised person ReID attracts a lot of attention recently,…
ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation
Hanwen Cao, Yongyi Lu, Cewu Lu +3
Recent works of point clouds show that mulit-frame spatio-temporal modeling outperforms single-frame versions by utilizing cross-frame information. In this paper, we further improv…
Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation
Bo Pang, Zhong-Ping Jiang
This paper studies the robustness of reinforcement learning algorithms to errors in the learning process. Specifically, we revisit the benchmark problem of discrete-time linear qua…
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
Dario Fuoli, Zhiwu Huang, Martin Danelljan +18
This paper reviews the NTIRE 2020 challenge on video quality mapping (VQM), which addresses the issues of quality mapping from source video domain to target video domain. The chall…
Single Image Deraining via Scale-space Invariant Attention Neural Network
Bo Pang, Deming Zhai, Junjun Jiang +1
Image enhancement from degradation of rainy artifacts plays a critical role in outdoor visual computing systems. In this paper, we tackle the notion of scale that deals with visual…
TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model
Bo Pang, Yizhuo Li, Yifan Zhang +2
Multi-object tracking is a fundamental vision problem that has been studied for a long time. As deep learning brings excellent performances to object detection algorithms, Tracking…
Complex Sequential Understanding through the Awareness of Spatial and Temporal Concepts
Bo Pang, Kaiwen Zha, Hanwen Cao +3
Understanding sequential information is a fundamental task for artificial intelligence. Current neural networks attempt to learn spatial and temporal information as a whole, limite…
Robust Policy Iteration for Continuous-time Linear Quadratic Regulation
Bo Pang, Tao Bian, Zhong-Ping Jiang
This paper studies the robustness of policy iteration in the context of continuous-time infinite-horizon linear quadratic regulation (LQR) problem. It is shown that Kleinman's poli…
Asynchronous Interaction Aggregation for Action Detection
Jiajun Tang, Jin Xia, Xinzhi Mu +2
Understanding interaction is an essential part of video action detection. We propose the Asynchronous Interaction Aggregation network (AIA) that leverages different interactions to…