15 citations · 21 across the 8 of their papers we have counts for
7 papers · 1 filter
Off-Manifold Refinement: Guiding Video Generators with a Frozen World Model
Hai Nguyen-Truong, Tuan-Anh Vu, Dang Huynh
Modern video generators routinely fail at physical dynamics: objects float, trajectories violate gravity, contacts vanish. Standard denoising and flow-matching objectives fit visua…
Semantic Alignment in Hyperbolic Space for Open-Vocabulary Semantic Segmentation
Hoang M. Truong, Hai Nguyen-Truong, Dang Huynh
Open-vocabulary semantic segmentation requires adapting image-level vision-language models such as CLIP to dense pixel-level prediction, which is challenging due to the mismatch be…
Knowledge Consultation for Semi-Supervised Semantic Segmentation
Thuan Than, Nhat-Anh Nguyen-Dang, Dung Nguyen +7
Semi-Supervised Semantic Segmentation reduces reliance on extensive annotations by using unlabeled data and state-of-the-art models to improve overall performance. Despite the succ…
Leaf Recognition Using Convolutional Neural Networks Based Features
Boi M. Quach, Dinh V. Cuong, Nhung Pham +2
There is a warning light for the loss of plant habitats worldwide that entails concerted efforts to conserve plant biodiversity. Thus, plant species classification is of crucial im…
Binarizing MobileNet via Evolution-based Searching
Hai Phan, Zechun Liu, Dang Huynh +3
Binary Neural Networks (BNNs), known to be one among the effectively compact network architectures, have achieved great outcomes in the visual tasks. Designing efficient binary arc…
MoBiNet: A Mobile Binary Network for Image Classification
Hai Phan, Dang Huynh, Yihui He +2
MobileNet and Binary Neural Networks are two among the most widely used techniques to construct deep learning models for performing a variety of tasks on mobile and embedded platfo…
Large-Scale Video Classification with Feature Space Augmentation coupled with Learned Label Relations and Ensembling
Choongyeun Cho, Benjamin Antin, Sanchit Arora +7
This paper presents the Axon AI's solution to the 2nd YouTube-8M Video Understanding Challenge, achieving the final global average precision (GAP) of 88.733% on the private test se…