16 citations · 83 across the 18 of their papers we have counts for
18 papers
Robust Navigation with Cross-Modal Fusion and Knowledge Transfer
Wenzhe Cai, Guangran Cheng, Lingyue Kong +2
Recently, learning-based approaches show promising results in navigation tasks. However, the poor generalization capability and the simulation-reality gap prevent a wide range of a…
LANDMARK: Language-guided Representation Enhancement Framework for Scene Graph Generation
Xiaoguang Chang, Teng Wang, Shaowei Cai +1
Scene graph generation (SGG) is a sophisticated task that suffers from both complex visual features and dataset long-tail problem. Recently, various unbiased strategies have been p…
Transformer-Guided Convolutional Neural Network for Cross-View Geolocalization
Teng Wang, Shujuan Fan, Daikun Liu +1
Ground-to-aerial geolocalization refers to localizing a ground-level query image by matching it to a reference database of geo-tagged aerial imagery. This is very challenging due t…
Biasing Like Human: A Cognitive Bias Framework for Scene Graph Generation
Xiaoguang Chang, Teng Wang, Changyin Sun +1
Scene graph generation is a sophisticated task because there is no specific recognition pattern (e.g., "looking at" and "near" have no conspicuous difference concerning vision, whe…
Multi-agent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots
Zichen He, Lu Dong, Chunwei Song +1
In this paper, a novel hybrid multi-robot motion planner that can be applied under non-communication and local observable conditions is presented. The planner is model-free and can…
Learning Temporally Causal Latent Processes from General Temporal Data
Weiran Yao, Yuewen Sun, Alex Ho +2
Our goal is to recover time-delayed latent causal variables and identify their relations from measured temporal data. Estimating causally-related latent variables from observations…
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures
Lu Dong, Zichen He, Chunwei Song +1
Motion planning is critical to realize the autonomous operation of mobile robots. As the complexity and randomness of robot application scenarios increase, the planning capability…
Multi-modal Visual Place Recognition in Dynamics-Invariant Perception Space
Lin Wu, Teng Wang, Changyin Sun
Visual place recognition is one of the essential and challenging problems in the fields of robotics. In this letter, we for the first time explore the use of multi-modal fusion of…
Contraction Analysis on Primal-Dual Gradient Optimization
Yanxu Su, Yang Shi, Changyin Sun
This paper analyzes the contraction of the primal-dual gradient optimization via contraction theory in the context of discrete-time updating dynamics. The contraction theory based…
Distributed Model Predictive Control Under Inexact Primal-Dual Gradient Optimization Based on Contraction Analysis
Yanxu Su, Yang Shi, Changyin Sun
This paper develops a distributed model predictive control (DMPC) strategy for a class of discrete-time linear systems with consideration of globally coupled constraints. The DMPC…
Optimal Online Transmission Policy for Energy-Constrained Wireless-Powered Communication Networks
Xian Li, Xiangyun Zhou, Derrick Wing Kwan Ng +1
This work considers the design of online transmission policy in a wireless-powered communication system with a given energy budget. The system design objective is to maximize the l…
Discriminative multi-view Privileged Information learning for image re-ranking
Jun Li, Chang Xu, Wankou Yang +3
Conventional multi-view re-ranking methods usually perform asymmetrical matching between the region of interest (ROI) in the query image and the whole target image for similarity c…
Cooperative Control of Multiple Agents with Unknown High-frequency Gain Signs under Unbalanced and Switching Topologies
Qingling Wang, Haris E. Psillakis, Changyin Sun
Existing results on cooperative control of multi-agent systems with unknown control directions require that the underlying topology is either fixed with a strongly connected graph…
Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool
Feng Liu, Tao Xiang, Timothy M. Hospedales +2
In recent years, visual question answering (VQA) has become topical. The premise of VQA's significance as a benchmark in AI, is that both the image and textual question need to be…
iVQA: Inverse Visual Question Answering
Feng Liu, Tao Xiang, Timothy M. Hospedales +2
We propose the inverse problem of Visual question answering (iVQA), and explore its suitability as a benchmark for visuo-linguistic understanding. The iVQA task is to generate a qu…
Semantic Regularisation for Recurrent Image Annotation
Feng Liu, Tao Xiang, Timothy M. Hospedales +2
The "CNN-RNN" design pattern is increasingly widely applied in a variety of image annotation tasks including multi-label classification and captioning. Existing models use the weak…
Crowd Counting via Weighted VLAD on Dense Attribute Feature Maps
Biyun Sheng, Chunhua Shen, Guosheng Lin +3
Crowd counting is an important task in computer vision, which has many applications in video surveillance. Although the regression-based framework has achieved great improvements f…
Direct Adaptive Controller for Uncertain MIMO Dynamic Systems with Time-varying Delay and Dead-zone Inputs
Zhijun Li, Ziting Chen, Jun Fu +1
This paper presents an adaptive tracking control method for a class of nonlinearly parameterized MIMO dynamic systems with time-varying delay and unknown nonlinear dead-zone inputs…