activity
20242026
most citedBrainGPT: Unleashing the Potential of EEG Generalist Foundation Model by Autoregressive Pre-training

1 citations · 2 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2026

TimeThink: Reasoning with Time for Video LLMs

Handong Li, Longteng Guo, Zikang Liu +8

Video reasoning requires models to identify and verify temporally localized evidence within long video sequences. Recent Video Large Language Models (Video-LLMs) have shown promisi…

cs.CV2026

AdaSpark: Adaptive Sparsity for Efficient Long-Video Understanding

Handong Li, Zikang Liu, Longteng Guo +10

Processing long-form videos with Video Large Language Models (Video-LLMs) is computationally prohibitive. Current efficiency methods often compromise fine-grained perception throug…

math.CO2026

Kirchhoff index of a nested geometric graph with weighted multiple edges

Da-yeon Huh

Kirchhoff index, Kf(G), introduced by Klein and Randic in 1993, represents the total effective resistances between all pairs of vertices in a graph G, where each edge is regarded a…

cs.CV2025

ELV-Halluc: Benchmarking Semantic Aggregation Hallucinations in Long Video Understanding

Hao Lu, Jiahao Wang, Yaolun Zhang +5

Video multimodal large language models (Video-MLLMs) have achieved remarkable progress in video understanding. However, they remain vulnerable to hallucination-producing content in…

cs.CV2025

LaVi: Efficient Large Vision-Language Models via Internal Feature Modulation

Tongtian Yue, Longteng Guo, Yepeng Tang +4

Despite the impressive advancements of Large Vision-Language Models (LVLMs), existing approaches suffer from a fundamental bottleneck: inefficient visual-language integration. Curr…

cs.LG2025

Prefix Grouper: Efficient GRPO Training through Shared-Prefix Forward

Zikang Liu, Tongtian Yue, Yepeng Tang +5

Group Relative Policy Optimization (GRPO) enhances policy learning by computing gradients from relative comparisons among candidate outputs that share a common input prefix. Despit…

cs.CV2025

Towards Unified Referring Expression Segmentation Across Omni-Level Visual Target Granularities

Jing Liu, Wenxuan Wang, Yisi Zhang +5

Referring expression segmentation (RES) aims at segmenting the entities' masks that match the descriptive language expression. While traditional RES methods primarily address objec…

cs.CV2025

Image Difference Grounding with Natural Language

Wenxuan Wang, Zijia Zhao, Yisi Zhang +4

Visual grounding (VG) typically focuses on locating regions of interest within an image using natural language, and most existing VG methods are limited to single-image interpretat…

cs.AI2025

VRoPE: Rotary Position Embedding for Video Large Language Models

Zikang Liu, Longteng Guo, Yepeng Tang +6

Rotary Position Embedding (RoPE) has shown strong performance in text-based Large Language Models (LLMs), but extending it to video remains a challenge due to the intricate spatiot…

eess.SP2024★ 1 cited

BrainGPT: Unleashing the Potential of EEG Generalist Foundation Model by Autoregressive Pre-training

Tongtian Yue, Xuange Gao, Shuning Xue +4

Electroencephalogram (EEG) signals are pivotal in providing insights into spontaneous brain activity, highlighting their significant importance in neuroscience research. However, t…

cs.CV2024★ 1 cited

Diffusion Feedback Helps CLIP See Better

Wenxuan Wang, Quan Sun, Fan Zhang +3

Contrastive Language-Image Pre-training (CLIP), which excels at abstracting open-world representations across domains and modalities, has become a foundation for a variety of visio…