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20212026
most citedLightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation -- Extended Version

102 citations · 227 across the 22 of their papers we have counts for

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6 papers · 1 filter

cs.RO2025

Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective

Nhat Chung, Taisei Hanyu, Toan Nguyen +9

As embodied agents operate in increasingly complex environments, the ability to perceive, track, and reason about individual object instances over time becomes essential, especiall…

cs.RO2025

SlotVLA: Towards Modeling of Object-Relation Representations in Robotic Manipulation

Taisei Hanyu, Nhat Chung, Huy Le +10

Inspired by how humans reason over discrete objects and their relationships, we explore whether compact object-centric and object-relation representations can form a foundation for…

cs.LG2025

Universal Multi-Domain Translation via Diffusion Routers

Duc Kieu, Kien Do, Tuan Hoang +4

Multi-domain translation (MDT) aims to learn translations between multiple domains, yet existing approaches either require fully aligned tuples or can only handle domain pairs seen…

cs.CL2025

SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts--Extended Version

Nghiem Thanh Pham, Tung Kieu, Duc-Manh Nguyen +3

Small Language Models (SLMs) offer computational efficiency and accessibility, yet a systematic evaluation of their performance and environmental impact remains lacking. We introdu…

cs.CV2025

UNO: Unifying One-stage Video Scene Graph Generation via Object-Centric Visual Representation Learning

Huy Le, Nhat Chung, Tung Kieu +2

Video Scene Graph Generation (VidSGG) aims to represent dynamic visual content by detecting objects and modeling their temporal interactions as structured graphs. Prior studies typ…

cs.CV2025

BiMa: Towards Biases Mitigation for Text-Video Retrieval via Scene Element Guidance

Huy Le, Nhat Chung, Tung Kieu +2

Text-video retrieval (TVR) systems often suffer from visual-linguistic biases present in datasets, which cause pre-trained vision-language models to overlook key details. To addres…