most citedPOODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples

19 citations · 25 across the 6 of their papers we have counts for

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cs.CV2024

SwiftTry: Fast and Consistent Video Virtual Try-On with Diffusion Models

Hung Nguyen, Quang Qui-Vinh Nguyen, Khoi Nguyen +1

Given an input video of a person and a new garment, the objective of this paper is to synthesize a new video where the person is wearing the specified garment while maintaining spa…

cs.CV2024

SharpDepth: Sharpening Metric Depth Predictions Using Diffusion Distillation

Duc-Hai Pham, Tung Do, Phong Nguyen +3

We propose SharpDepth, a novel approach to monocular metric depth estimation that combines the metric accuracy of discriminative depth estimation methods (e.g., Metric3D, UniDepth)…

cs.CV2024★ 1 cited

Semi-supervised 3D Semantic Scene Completion with 2D Vision Foundation Model Guidance

Duc-Hai Pham, Duc-Dung Nguyen, Anh Pham +4

Accurate prediction of 3D semantic occupancy from 2D visual images is vital in enabling autonomous agents to comprehend their surroundings for planning and navigation. State-of-the…

cs.CV2022★ 4 cited

PSENet: Progressive Self-Enhancement Network for Unsupervised Extreme-Light Image Enhancement

Hue Nguyen, Diep Tran, Khoi Nguyen +1

The extremes of lighting (e.g. too much or too little light) usually cause many troubles for machine and human vision. Many recent works have mainly focused on under-exposure cases…

cs.CV2022★ 1 cited

Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments

Khoi D. Nguyen, Quoc-Huy Tran, Khoi Nguyen +2

We present a novel method for few-shot video classification, which performs appearance and temporal alignments. In particular, given a pair of query and support videos, we conduct…