4 citations · 9 across the 10 of their papers we have counts for
10 papers
DualFit: A Two-Stage Virtual Try-On via Warping and Synthesis
Minh Tran, Johnmark Clements, Annie Prasanna +2
Virtual Try-On technology has garnered significant attention for its potential to transform the online fashion retail experience by allowing users to visualize how garments would l…
A2VIS: Amodal-Aware Approach to Video Instance Segmentation
Minh Tran, Thang Pham, Winston Bounsavy +2
Handling occlusion remains a significant challenge for video instance-level tasks like Multiple Object Tracking (MOT) and Video Instance Segmentation (VIS). In this paper, we propo…
Amodal Instance Segmentation with Diffusion Shape Prior Estimation
Minh Tran, Khoa Vo, Tri Nguyen +1
Amodal Instance Segmentation (AIS) presents an intriguing challenge, including the segmentation prediction of both visible and occluded parts of objects within images. Previous met…
HENASY: Learning to Assemble Scene-Entities for Egocentric Video-Language Model
Khoa Vo, Thinh Phan, Kashu Yamazaki +2
Current video-language models (VLMs) rely extensively on instance-level alignment between video and language modalities, which presents two major limitations: (1) visual reasoning…
S3Former: Self-supervised High-resolution Transformer for Solar PV Profiling
Minh Tran, Adrian De Luis, Haitao Liao +5
As the impact of climate change escalates, the global necessity to transition to sustainable energy sources becomes increasingly evident. Renewable energies have emerged as a viabl…
ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation
Minh Tran, Winston Bounsavy, Khoa Vo +3
Amodal Instance Segmentation (AIS) presents a challenging task as it involves predicting both visible and occluded parts of objects within images. Existing AIS methods rely on a bi…
WAVER: Writing-style Agnostic Text-Video Retrieval via Distilling Vision-Language Models Through Open-Vocabulary Knowledge
Huy Le, Tung Kieu, Anh Nguyen +1
Text-video retrieval, a prominent sub-field within the domain of multimodal information retrieval, has witnessed remarkable growth in recent years. However, existing methods assume…
ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection
Thinh Phan, Khoa Vo, Duy Le +3
Temporal action detection (TAD) involves the localization and classification of action instances within untrimmed videos. While standard TAD follows fully supervised learning with…
SolarFormer: Multi-scale Transformer for Solar PV Profiling
Adrian de Luis, Minh Tran, Taisei Hanyu +6
As climate change intensifies, the global imperative to shift towards sustainable energy sources becomes more pronounced. Photovoltaic (PV) energy is a favored choice due to its re…
Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation
Kashu Yamazaki, Taisei Hanyu, Khoa Vo +5
Precise 3D environmental mapping is pivotal in robotics. Existing methods often rely on predefined concepts during training or are time-intensive when generating semantic maps. Thi…