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20212026
most citedMeta-Learning 3D Shape Segmentation Functions

4 citations · 12 across the 22 of their papers we have counts for

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6 papers · 1 filter

cs.LG2026

Adaptive Role Assignment and Controlled Feature Reconstruction for Federated Image Semantic Communication

Yuxuan Chen, Jiao Bie, Hang Qi +1

Hybrid federated semantic communication enables user equipment (UEs) to contribute model updates or semantic features under a shared training framework. However, heterogeneous role…

cs.RO2026

Continual Humanoid Motion Learning

Zhewen He, Hao Huang, Geeta Chandra Raju Bethala +4

Humanoid whole-body controllers can now track a diverse set of dynamic motions, but they are typically trained offline and then frozen, so teaching such a controller a new skill te…

cs.CV2026

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…

cs.CV2026

Focus Where It Counts: A Salience-Driven Vision-Language Model for Low Vision Assistance

Jiazhao Liang, Hao Huang, Shuaihang Yuan +8

Vision-language models (VLMs) are rapidly progressing and offer promising capabilities for assistive technologies supporting persons with blindness or low vision. However, existing…

cs.CV2026

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…

cs.CV2026

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…