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20242026
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cs.CV2026

When Does An Extra View Help? Adapting Single-View 3D Reconstruction with Extra Imagery

Y Huynh, Duc Thanh Nguyen, Thao Minh Le +1

Reconstruction of 3D objects from a single image is a challenging research problem in computer vision. The key challenge is the lack of critical information from viewpoints to comp…

cs.CV2025

Planner-Refiner: Dynamic Space-Time Refinement for Vision-Language Alignment in Videos

Tuyen Tran, Thao Minh Le, Quang-Hung Le +1

Vision-language alignment in video must address the complexity of language, evolving interacting entities, their action chains, and semantic gaps between language and vision. This…

cs.CV2025

Towards Agentic AI for Multimodal-Guided Video Object Segmentation

Tuyen Tran, Thao Minh Le, Truyen Tran

Referring-based Video Object Segmentation is a multimodal problem that requires producing fine-grained segmentation results guided by external cues. Traditional approaches to this…

cs.CV2025

Finding the Trigger: Causal Abductive Reasoning on Video Events

Thao Minh Le, Vuong Le, Kien Do +3

This paper introduces a new problem, Causal Abductive Reasoning on Video Events (CARVE), which involves identifying causal relationships between events in a video and generating hy…

cs.CV2024

Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models

Quang-Hung Le, Long Hoang Dang, Ngan Le +2

Existing Large Vision-Language Models (LVLMs) excel at matching concepts across multi-modal inputs but struggle with compositional concepts and high-level relationships between ent…

cs.CV2024

Unified Framework with Consistency across Modalities for Human Activity Recognition

Tuyen Tran, Thao Minh Le, Hung Tran +1

Recognizing human activities in videos is challenging due to the spatio-temporal complexity and context-dependence of human interactions. Prior studies often rely on single input m…