15 citations · 21 across the 8 of their papers we have counts for
8 papers
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…
Unveiling Comparative Sentiments in Vietnamese Product Reviews: A Sequential Classification Framework
Ha Le, Bao Tran, Phuong Le +4
Comparative opinion mining is a specialized field of sentiment analysis that aims to identify and extract sentiments expressed comparatively. To address this task, we propose an ap…
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…