most citedDifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation

1 citations · 1 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV2026

REZE: Recognition-Based Zero-Shot Extraction for Video Temporal Grounding

Boyang Li, Chenhui Gou, Jianfei Cai

Video temporal grounding (VTG) refers to the task of identifying the time interval in a video that corresponds to a given natural-language query. A common zero-shot strategy asks a…

cs.CV2026

Towards High-Resolution Visual Perception via Hierarchical Entity Exploration

Ziyu Ma, Shidong Yang, Yuxiang Ji +5

High-resolution (HR) image perception remains a key challenge in multimodal large language models (MLLMs), as fine-grained details are often lost when the image is processed as a w…

cs.CV2024

How Well Can Vision Language Models See Image Details?

Chenhui Gou, Abdulwahab Felemban, Faizan Farooq Khan +4

Large Language Model-based Vision-Language Models (LLM-based VLMs) have demonstrated impressive results in various vision-language understanding tasks. However, how well these VLMs…

cs.CV2024

DrVideo: Document Retrieval Based Long Video Understanding

Ziyu Ma, Chenhui Gou, Hengcan Shi +4

Most of the existing methods for video understanding primarily focus on videos only lasting tens of seconds, with limited exploration of techniques for handling long videos. The in…

cs.CV2024

JRDB-PanoTrack: An Open-world Panoptic Segmentation and Tracking Robotic Dataset in Crowded Human Environments

Duy-Tho Le, Chenhui Gou, Stavya Datta +4

Autonomous robot systems have attracted increasing research attention in recent years, where environment understanding is a crucial step for robot navigation, human-robot interacti…

cs.CV2024★ 1 cited

DifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation

Duy-Tho Le, Hengcan Shi, Jianfei Cai +1

Diffusion models have recently gained prominence as powerful deep generative models, demonstrating unmatched performance across various domains. However, their potential in multi-s…

cs.CV2024

GeReA: Question-Aware Prompt Captions for Knowledge-based Visual Question Answering

Ziyu Ma, Shutao Li, Bin Sun +3

Knowledge-based visual question answering (VQA) requires world knowledge beyond the image for accurate answer. Recently, instead of extra knowledge bases, a large language model (L…