28 citations · 29 across the 13 of their papers we have counts for
13 papers
SWE-Review: Closing the Loop on Issue Resolution with Agentic Code Review
Ruoyu Wang, Jierun Chen, Shaowei Wang +7
Coding agents increasingly generate pull requests (PRs) for real-world software issues, yet one-shot PR generation remains open-loop: the PR is proposed without systematic review,…
Mixture-of-Modality-Experts with Holistic Token Learning for Fine-Grained Multimodal Visual Analytics in Driver Action Recognition
Tianyi Liu, Yiming Li, Wenqian Wang +4
Robust multimodal visual analytics remains challenging when heterogeneous modalities provide complementary but input-dependent evidence for decision-making.Existing multimodal lear…
Accelerating Diffusion-based Video Editing via Heterogeneous Caching: Beyond Full Computing at Sampled Denoising Timestep
Tianyi Liu, Ye Lu, Linfeng Zhang +5
Diffusion-based video editing has emerged as an important paradigm for high-quality and flexible content generation. However, despite their generality and strong modeling capacity,…
DAOS: A Multimodal In-cabin Behavior Monitoring with Driver Action-Object Synergy Dataset
Yiming Li, Chen Cai, Tianyi Liu +6
Multimodal action understanding requires complementary sensory observations to be connected with structured semantic knowledge. This is particularly challenging in vehicle cabins,…
A Structure-aware and Motion-adaptive Framework for 3D Human Pose Estimation with Mamba
Ye Lu, Jie Wang, Jianjun Gao +3
Recent Mamba-based methods for the pose-lifting task tend to model joint dependencies by 2D-to-1D mapping with diverse scanning strategies. Though effective, they struggle to model…
SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal
Wenyang Liu, Jianjun Gao, Kim-Hui Yap
Visible watermark removal is challenging due to its inherent complexities and the noise carried within images. Existing methods primarily rely on supervised learning approaches tha…
CL-HOI: Cross-Level Human-Object Interaction Distillation from Vision Large Language Models
Jianjun Gao, Chen Cai, Ruoyu Wang +4
Human-object interaction (HOI) detection has seen advancements with Vision Language Models (VLMs), but these methods often depend on extensive manual annotations. Vision Large Lang…
Open World Object Detection: A Survey
Yiming Li, Yi Wang, Wenqian Wang +3
Exploring new knowledge is a fundamental human ability that can be mirrored in the development of deep neural networks, especially in the field of object detection. Open world obje…
Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting
Chen Cai, Zheng Wang, Jianjun Gao +4
In recent years, the rapid increase in online video content has underscored the limitations of static Video Question Answering (VideoQA) models trained on fixed datasets, as they s…
MultiFuser: Multimodal Fusion Transformer for Enhanced Driver Action Recognition
Ruoyu Wang, Wenqian Wang, Jianjun Gao +3
Driver action recognition, aiming to accurately identify drivers' behaviours, is crucial for enhancing driver-vehicle interactions and ensuring driving safety. Unlike general actio…
CM2-Net: Continual Cross-Modal Mapping Network for Driver Action Recognition
Ruoyu Wang, Chen Cai, Wenqian Wang +4
Driver action recognition has significantly advanced in enhancing driver-vehicle interactions and ensuring driving safety by integrating multiple modalities, such as infrared and d…
Multi-modality action recognition based on dual feature shift in vehicle cabin monitoring
Dan Lin, Philip Hann Yung Lee, Yiming Li +4
Driver Action Recognition (DAR) is crucial in vehicle cabin monitoring systems. In real-world applications, it is common for vehicle cabins to be equipped with cameras featuring di…
OccluTrack: Rethinking Awareness of Occlusion for Enhancing Multiple Pedestrian Tracking
Jianjun Gao, Yi Wang, Kim-Hui Yap +2
Multiple pedestrian tracking is crucial for enhancing safety and efficiency in intelligent transport and autonomous driving systems by predicting movements and enabling adaptive de…