activity
20242026
most citedV2X-PC: Vehicle-to-everything Collaborative Perception via Point Cluster

1 citations · 1 across the 11 of their papers we have counts for

collaborators

12 papers

math.OC2026

From Product Evidence to Access Rights: Auditing and Routing Non-Firm Grid Connections

Alban Kryeziu, Stuart X. Zhu, Evrim Ursavas

Non-firm connection products can accelerate grid access while reinforcements are delayed, but their planning value depends on evidence supporting the contractual promise. We develo…

cs.CV2026

Parse, Search, and Confirmation: Training-Free Aerial Vision-and-Dialog Navigation with Chain-of-Thought Reasoning and Structured Spatial Memory

Yu Qi, Hongyu Li, Shaofei Huang +6

In this paper, we tackle the Aerial Vision-and-Dialog Navigation (AVDN) task in the training-free setting for resource-efficient high-altitude UAV navigation.Naively applying MLLMs…

cs.CV2026

Temporal and Cross-Modal Alignment for Enhanced Audiovisual Video Captioning

Chen Zhao, Jiajun Ma, Qilong Huang +6

While Multimodal Large Language Models (MLLMs) have advanced video understanding, achieving precise temporal and cross-modal alignment in audiovisual video captioning remains a for…

cs.CV2026

Video-MME-Logical: A Controlled Diagnostic Benchmark for Video Temporal-Logical Reasoning

Hohin Kwan, Hongyu Li, Ray Zhang +5

Recent interest in multimodal large language models (MLLMs) raises a central question: can they reason over dynamic visual evidence rather than merely recognize objects or events i…

cs.CV2026

RPiAE: A Representation-Pivoted Autoencoder Enhancing Both Image Generation and Editing

Yue Gong, Hongyu Li, Shanyuan Liu +8

Diffusion models have become the dominant paradigm for image generation and editing, with latent diffusion models shifting denoising to a compact latent space for efficiency and sc…

cs.RO2026

From Instruction to Event: Sound-Triggered Mobile Manipulation

Hao Ju, Shaofei Huang, Hongyu Li +4

Current mobile manipulation research predominantly follows an instruction-driven paradigm, where robots rely on predefined textual commands to execute tasks. However, this setting…

cs.CV2025

Revisiting Audio-Visual Segmentation with Vision-Centric Transformer

Shaofei Huang, Rui Ling, Tianrui Hui +6

Audio-Visual Segmentation (AVS) aims to segment sound-producing objects in video frames based on the associated audio signal. Prevailing AVS methods typically adopt an audio-centri…

cs.CV2025

Reinforcement Learning Tuning for VideoLLMs: Reward Design and Data Efficiency

Hongyu Li, Songhao Han, Yue Liao +4

Understanding real-world videos with complex semantics and long temporal dependencies remains a fundamental challenge in computer vision. Recent progress in multimodal large langua…

cs.CV2025

LLaVA-ST: A Multimodal Large Language Model for Fine-Grained Spatial-Temporal Understanding

Hongyu Li, Jinyu Chen, Ziyu Wei +5

Recent advancements in multimodal large language models (MLLMs) have shown promising results, yet existing approaches struggle to effectively handle both temporal and spatial local…

cs.CV2024

Dynamic Prompting of Frozen Text-to-Image Diffusion Models for Panoptic Narrative Grounding

Hongyu Li, Tianrui Hui, Zihan Ding +5

Panoptic narrative grounding (PNG), whose core target is fine-grained image-text alignment, requires a panoptic segmentation of referred objects given a narrative caption. Previous…

cs.CV2024

Unleashing the Temporal-Spatial Reasoning Capacity of GPT for Training-Free Audio and Language Referenced Video Object Segmentation

Shaofei Huang, Rui Ling, Hongyu Li +5

In this paper, we propose an Audio-Language-Referenced SAM 2 (AL-Ref-SAM 2) pipeline to explore the training-free paradigm for audio and language-referenced video object segmentati…

cs.CV2024★ 1 cited

V2X-PC: Vehicle-to-everything Collaborative Perception via Point Cluster

Si Liu, Zihan Ding, Jiahui Fu +4

The objective of the collaborative vehicle-to-everything perception task is to enhance the individual vehicle's perception capability through message communication among neighborin…