1 citations · 1 across the 6 of their papers we have counts for
9 papers
VETO: Video Efficient Token Optimization for Vision Language Models
Gueter Josmy Faure, Hao Ping Wang, Min-Hung Chen +1
Processing long videos with Vision-Language Models (VLMs) is bottlenecked by the quadratic cost of visual tokens, making long-form inference prohibitively expensive. While single-a…
ActionLens: Diagnosing Spatial-Temporal Binding Failures in Vision-Language Models
Gueter Josmy Faure, Min-Hung Chen, Hao Ping Wang +3
Video-capable vision-language models score above 80\% on popular benchmarks yet struggle with spatial-temporal binding: associating the right action with the right person at the ri…
FineBench: Benchmarking and Enhancing Vision-Language Models for Fine-grained Human Activity Understanding
Gueter Josmy Faure, Min-Hung Chen, Jia-Fong Yeh +2
Vision-Language Models (VLMs) have demonstrated remarkable capabilities in general video understanding, yet they often struggle with the fine-grained comprehension crucial for real…
SPATIOROUTE: Dynamic Prompt Routing for Zero-Shot Spatial Reasoning
Pawat Chunhachatrachai, Gueter Josmy Faure, Hung-Ting Su +1
Spatial question answering over egocentric video is a challenging task that requires Vision-Language Models (VLMs) to reason about 3D object positions, scene affordances, and direc…
SceneFunRI: Reasoning the Invisible for Task-Driven Functional Object Localization
Posheng Chen, Powen Cheng, Gueter Josmy Faure +2
In real-world scenes, target objects may reside in regions that are not visible. While humans can often infer the locations of occluded objects from context and commonsense knowled…
MovieCORE: COgnitive REasoning in Movies
Gueter Josmy Faure, Min-Hung Chen, Jia-Fong Yeh +5
This paper introduces MovieCORE, a novel video question answering (VQA) dataset designed to probe deeper cognitive understanding of movie content. Unlike existing datasets that foc…
HERMES: temporal-coHERent long-forM understanding with Episodes and Semantics
Gueter Josmy Faure, Jia-Fong Yeh, Min-Hung Chen +3
Long-form video understanding presents unique challenges that extend beyond traditional short-video analysis approaches, particularly in capturing long-range dependencies, processi…
Interaction-Aware Prompting for Zero-Shot Spatio-Temporal Action Detection
Wei-Jhe Huang, Jheng-Hsien Yeh, Min-Hung Chen +2
The goal of spatial-temporal action detection is to determine the time and place where each person's action occurs in a video and classify the corresponding action category. Most o…
Holistic Interaction Transformer Network for Action Detection
Gueter Josmy Faure, Min-Hung Chen, Shang-Hong Lai
Actions are about how we interact with the environment, including other people, objects, and ourselves. In this paper, we propose a novel multi-modal Holistic Interaction Transform…