1 citations · 1 across the 5 of their papers we have counts for
5 papers
CountEx: Fine-Grained Counting via Exemplars and Exclusion
Yifeng Huang, Gia Khanh Nguyen, Minh Hoai
This paper presents CountEx, a discriminative visual counting framework designed to address a key limitation of existing prompt-based methods: the inability to explicitly exclude v…
Can Current AI Models Count What We Mean, Not What They See? A Benchmark and Systematic Evaluation
Gia Khanh Nguyen, Yifeng Huang, Minh Hoai
Visual counting is a fundamental yet challenging task, especially when users need to count objects of a specific type in complex scenes. While recent models, including class-agnost…
DualMat: PBR Material Estimation via Coherent Dual-Path Diffusion
Yifeng Huang, Zhang Chen, Yi Xu +2
We present DualMat, a novel dual-path diffusion framework for estimating Physically Based Rendering (PBR) materials from single images under complex lighting conditions. Our approa…
Count What You Want: Exemplar Identification and Few-shot Counting of Human Actions in the Wild
Yifeng Huang, Duc Duy Nguyen, Lam Nguyen +2
This paper addresses the task of counting human actions of interest using sensor data from wearable devices. We propose a novel exemplar-based framework, allowing users to provide…
Interactive Class-Agnostic Object Counting
Yifeng Huang, Viresh Ranjan, Minh Hoai
We propose a novel framework for interactive class-agnostic object counting, where a human user can interactively provide feedback to improve the accuracy of a counter. Our framewo…