activity
20232026
most citedTowards Blind Bitstream-corrupted Video Recovery via a Visual Foundation Model-driven Framework

1 citations · 1 across the 9 of their papers we have counts for

collaborators

11 papers

cs.CV2026

Boundary Voting Network for Ambiguity-Aware Timestamp-Supervised Action Segmentation

Runzhong Zhang, Yueqi Duan, Yang Chen +4

Timestamp-supervised action segmentation aims to segment and classify actions in untrimmed videos with a random frame annotated per action. Precisely localizing action boundaries f…

cs.CV2026

EgoErrorVQA: Assess Egocentric Comprehension Capabilities through Procedural Errors for Ego-Agentic AI

Junlong Li, Junxi Li, Jianjun Gao +3

The majority of our everyday activities are procedural and consist of sequences of interdependent steps. However, existing benchmarks for Visual Agents and Visual Language Models (…

eess.IV2025★ 1 cited

Towards Blind Bitstream-corrupted Video Recovery via a Visual Foundation Model-driven Framework

Tianyi Liu, Kejun Wu, Chen Cai +3

Video signals are vulnerable in multimedia communication and storage systems, as even slight bitstream-domain corruption can lead to significant pixel-domain degradation. To recove…

cs.CV2025

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…

cs.CV2025

PromptSR: Cascade Prompting for Lightweight Image Super-Resolution

Wenyang Liu, Chen Cai, Jianjun Gao +4

Although the lightweight Vision Transformer has significantly advanced image super-resolution (SR), it faces the inherent challenge of a limited receptive field due to the window-b…

cs.CV2025

From Semantics, Scene to Instance-awareness: Distilling Foundation Model for Grounded Open-vocabulary Situation Recognition

Chen Cai, Tianyi Liu, Jianjun Gao +5

Recent Multimodal Large Language Models (MLLMs) exhibit strong zero-shot abilities but struggle with complex Grounded Situation Recognition (GSR) and are resource-intensive for edg…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

Video sentence grounding with temporally global textual knowledge

Cai Chen, Runzhong Zhang, Jianjun Gao +3

Temporal sentence grounding involves the retrieval of a video moment with a natural language query. Many existing works directly incorporate the given video and temporally localize…

cs.CV2023

Top-Down Framework for Weakly-supervised Grounded Image Captioning

Chen Cai, Suchen Wang, Kim-hui Yap +1

Weakly-supervised grounded image captioning (WSGIC) aims to generate the caption and ground (localize) predicted object words in the input image without using bounding box supervis…