11 citations · 16 across the 4 of their papers we have counts for
5 papers
AiSearch: Interactive Multi-Modal Search with VLMs
Ali Koksal, Mei Chee Leong, Vicky Sintunata +2
Modern retrieval systems must both be automated and interactive, allowing users to search and refine results in real time. We present AiSearch, a flexible multimodal retrieval fram…
Towards Annotation-Free Validation of MLLMs: A Vision-Language Logical Consistency Metric
Ying Gu, Mei Chee Leong, Hui Li Tan +3
Dominant accuracy evaluation might reward unwarranted guessing of Large Language Models, and it might not be applicable to novel tasks for model validation without ground-truth (gt…
Explicit Logic Channel for Validation and Enhancement of MLLMs on Zero-Shot Tasks
Mei Chee Leong, Ying Gu, Hui Li Tan +2
Frontier Multimodal Large Language Models (MLLMs) exhibit remarkable capabilities in Visual-Language Comprehension (VLC) tasks. However, they are often deployed as zero-shot soluti…
Combined CNN Transformer Encoder for Enhanced Fine-grained Human Action Recognition
Mei Chee Leong, Haosong Zhang, Hui Li Tan +2
Fine-grained action recognition is a challenging task in computer vision. As fine-grained datasets have small inter-class variations in spatial and temporal space, fine-grained act…
Joint Learning On The Hierarchy Representation for Fine-Grained Human Action Recognition
Mei Chee Leong, Hui Li Tan, Haosong Zhang +3
Fine-grained human action recognition is a core research topic in computer vision. Inspired by the recently proposed hierarchy representation of fine-grained actions in FineGym and…