57 citations · 70 across the 12 of their papers we have counts for
12 papers
Lite Any Stereo V2: Faster and Stronger Efficient Zero-Shot Stereo Matching
Junpeng Jing, Ronglai Zuo, Zhelun Shen +5
Recent advances in stereo matching have achieved remarkable accuracy, but often rely on large models, heavy computation, or additional foundation-model priors, making them difficul…
Looped World Models
Hongyuan Adam Lu, Z. L. Victor Wei, Qun Zhang +28
Current world models face a fundamental tension: faithful long-horizon simulation demands deep computation, but deeper models are expensive to deploy and prone to compounding error…
RAVEN: Real-time Autoregressive Video Extrapolation with Consistency-model GRPO
Yanzuo Lu, Ronglai Zuo, Jiankang Deng
Causal autoregressive video diffusion models support real-time streaming generation by extrapolating future chunks from previously generated content. Distilling such generators fro…
MaDiS: Taming Masked Diffusion Language Models for Sign Language Generation
Ronglai Zuo, Rolandos Alexandros Potamias, Qi Sun +3
Sign language generation (SLG) aims to translate written texts into expressive sign motions, bridging communication barriers for the Deaf and Hard-of-Hearing communities. Recent st…
SignBot: Learning Human-to-Humanoid Sign Language Interaction
Guanren Qiao, Sixu Lin, Ronglai Zuo +3
Sign language is a natural and visual form of language that uses movements and expressions to convey meaning, serving as a crucial means of communication for individuals who are de…
Signs as Tokens: A Retrieval-Enhanced Multilingual Sign Language Generator
Ronglai Zuo, Rolandos Alexandros Potamias, Evangelos Ververas +2
Sign language is a visual language that encompasses all linguistic features of natural languages and serves as the primary communication method for the deaf and hard-of-hearing com…
A Hong Kong Sign Language Corpus Collected from Sign-interpreted TV News
Zhe Niu, Ronglai Zuo, Brian Mak +1
This paper introduces TVB-HKSL-News, a new Hong Kong sign language (HKSL) dataset collected from a TV news program over a period of 7 months. The dataset is collected to enrich res…
Towards Online Continuous Sign Language Recognition and Translation
Ronglai Zuo, Fangyun Wei, Brian Mak
Research on continuous sign language recognition (CSLR) is essential to bridge the communication gap between deaf and hearing individuals. Numerous previous studies have trained th…
A Simple Baseline for Spoken Language to Sign Language Translation with 3D Avatars
Ronglai Zuo, Fangyun Wei, Zenggui Chen +3
The objective of this paper is to develop a functional system for translating spoken languages into sign languages, referred to as Spoken2Sign translation. The Spoken2Sign task is…
Natural Language-Assisted Sign Language Recognition
Ronglai Zuo, Fangyun Wei, Brian Mak
Sign languages are visual languages which convey information by signers' handshape, facial expression, body movement, and so forth. Due to the inherent restriction of combinations…
Improving Continuous Sign Language Recognition with Consistency Constraints and Signer Removal
Ronglai Zuo, Brian Mak
Most deep-learning-based continuous sign language recognition (CSLR) models share a similar backbone consisting of a visual module, a sequential module, and an alignment module. Ho…
Two-Stream Network for Sign Language Recognition and Translation
Yutong Chen, Ronglai Zuo, Fangyun Wei +3
Sign languages are visual languages using manual articulations and non-manual elements to convey information. For sign language recognition and translation, the majority of existin…