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20212026
most citedMeta-Learning 3D Shape Segmentation Functions

4 citations · 9 across the 21 of their papers we have counts for

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11 papers · 1 filter

cs.CV2026

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…

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

VCS-SLAM: Geometry-Validated Semantic Evidence Fusion for 3D Gaussian SLAM

Raman Jha, Shuaihang Yuan, Yi Fang

Visual SLAM performance often deteriorates in complex real-world applications. Semantic 3D Gaussian SLAM commonly fuses 2D semantic priors into a persistent 3D map using uniform op…

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…

cs.CV2025

Hierarchical Scoring with 3D Gaussian Splatting for Instance Image-Goal Navigation

Yijie Deng, Shuaihang Yuan, Geeta Chandra Raju Bethala +3

Instance Image-Goal Navigation (IIN) requires autonomous agents to identify and navigate to a target object or location depicted in a reference image captured from any viewpoint. W…

cs.CV2025

A Chain-of-Thought Subspace Meta-Learning for Few-shot Image Captioning with Large Vision and Language Models

Hao Huang, Shuaihang Yuan, Yu Hao +2

A large-scale vision and language model that has been pretrained on massive data encodes visual and linguistic prior, which makes it easier to generate images and language that are…

cs.CV2024

Curvature Diversity-Driven Deformation and Domain Alignment for Point Cloud

Mengxi Wu, Hao Huang, Yi Fang +1

Unsupervised Domain Adaptation (UDA) is crucial for reducing the need for extensive manual data annotation when training deep networks on point cloud data. A significant challenge…

cs.CV2023

A Multi-Modal Foundation Model to Assist People with Blindness and Low Vision in Environmental Interaction

Yu Hao, Fan Yang, Hao Huang +5

People with blindness and low vision (pBLV) encounter substantial challenges when it comes to comprehensive scene recognition and precise object identification in unfamiliar enviro…

cs.CV2021★ 4 cited

Meta-Learning 3D Shape Segmentation Functions

Yu Hao, Hao Huang, Shuaihang Yuan +1

Learning robust 3D shape segmentation functions with deep neural networks has emerged as a powerful paradigm, offering promising performance in producing a consistent part segmenta…