3 citations · 3 across the 8 of their papers we have counts for
10 papers · 1 filter
ReSight-SMC: Two-Stage Power Sampling via Island SMC with Visual Scouts
Yaowen Zhang, Xiangyu Qiu, Junyi Hu +5
Power sampling has emerged as a training-free approach to LLM reasoning, eliciting capabilities comparable to reinforcement learning by sharpening the model distribution over compl…
CST-WM: A Causally Structured World Model for Embodied Visual Tracking
Junyi Hu, Shuaihang Yuan, Yi Fang +1
Embodied visual tracking requires a robot to choose actions that keep a moving target observable at a suitable distance, and to recover it after occlusion, out-of-view drift, or di…
DINO Eats Geometry: Self-Supervised Sign Representations that Absorb Articulated Hand Geometry
Junyi Hu, Zhewen He, Haomian Huang +4
Handshape and orientation are geometric components of sign language, yet many sign encoders learn from appearance alone. We introduce SignDEG (DINO Eats Geometry), a temporal sign…
Scaling Representation Diversity: Modulated Attention and Reconstructive Regularization for Visual Grounding
Junyi Hu, Tian Bai, Fengyi Wu +7
Referring Expression Comprehension (REC) is commonly studied under dataset-specific fine-tuning, resulting in specialist models with limited cross-dataset generalization. In this w…
VTaMo: Video-Text Alignment Model for Sign Language Translation
Junyi Hu, Zhewen He, Haomian Huang +2
Sign language translation (SLT) converts continuous sign videos into spoken language text. Gloss-free approaches leverage pre-trained visual encoders and language models but rely o…
SignNet-1M: Large-Scale Multilingual Sign Language Video Dataset with Downstream Benchmarks
Zhewen He, Junyi Hu, Haomian Huang +3
Sign language models are typically trained on datasets captured under constrained conditions, with limited viewpoint, background, and signer-identity diversity, leading to poor rob…
LAGO: Language-Guided Adaptive Object-Region Focus for Zero-Shot Visual-Text Alignment
Junyi Hu, Qiji Zhou, Lei Zhang +1
Zero-shot visual recognition often depends on localized parts, attributes, and textures that are diluted in global image representations. Existing training-free localized methods a…
ExpAlign: Expectation-Guided Vision-Language Alignment for Open-Vocabulary Grounding
Junyi Hu, Tian Bai, Fengyi Wu +3
Open-vocabulary grounding requires accurate vision-language alignment under weak supervision, yet existing methods either rely on global sentence embeddings that lack fine-grained…
PHCT: Plug-and-Play Hierarchical C2F Transformer for Multi-Scale Feature Fusion
Junyi Hu, Tian Bai, Fengyi Wu +2
Feature fusion plays a pivotal role in achieving high performance in vision models, yet existing attention-based fusion techniques often suffer from substantial computational overh…
SayAnything: Audio-Driven Lip Synchronization with Conditional Video Diffusion
Junxian Ma, Shiwen Wang, Jian Yang +6
Recent advances in diffusion models have led to significant progress in audio-driven lip synchronization. However, existing methods typically rely on constrained audio-visual align…