activity
20222026
most citedGaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation

1 citations · 1 across the 6 of their papers we have counts for

collaborators

8 papers

quant-ph2026

Quantum-Aware Key Rank for Side-Channel Attacks evaluation

Yevgen Kotukh

Side-channel attacks on block ciphers rarely recover the key outright: they leave a residual key space ordered by subkey posteriors, and evaluation laboratories report the key rank…

cs.CV2026

HumanScore: Benchmarking Human Motions in Generated Videos

Yusu Fang, Tiange Xiang, Tian Tan +4

Recent advances in model architectures, compute, and data scale have driven rapid progress in video generation, producing increasingly realistic content. Yet, no prior method syste…

cs.CV2026

Latent Forcing: Reordering the Diffusion Trajectory for Pixel-Space Image Generation

Alan Baade, Eric Ryan Chan, Kyle Sargent +4

Latent diffusion models excel at generating high-quality images but lose the benefits of end-to-end modeling. They discard information during image encoding, require a separately t…

cs.AI2025

QuantiPhy: A Quantitative Benchmark Evaluating Physical Reasoning Abilities of Vision-Language Models

Li Puyin, Tiange Xiang, Ella Mao +5

Understanding the physical world is essential for generalist AI agents. However, it remains unclear whether state-of-the-art vision perception models (e.g., large VLMs) can reason…

cs.CV2025

Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation

Bailey Trang, Parham Saremi, Alan Q. Wang +6

Capturing diversity is crucial in conditional and prompt-based image generation, particularly when conditions contain uncertainty that can lead to multiple plausible outputs. To ge…

cs.CV2025

Repurposing 2D Diffusion Models with Gaussian Atlas for 3D Generation

Tiange Xiang, Kai Li, Chengjiang Long +5

Recent advances in text-to-image diffusion models have been driven by the increasing availability of paired 2D data. However, the development of 3D diffusion models has been hinder…

cs.CV2024

The Language of Motion: Unifying Verbal and Non-verbal Language of 3D Human Motion

Changan Chen, Juze Zhang, Shrinidhi K. Lakshmikanth +5

Human communication is inherently multimodal, involving a combination of verbal and non-verbal cues such as speech, facial expressions, and body gestures. Modeling these behaviors…

cs.CV2022★ 1 cited

GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation

Mark Endo, Kathleen L. Poston, Edith V. Sullivan +3

Parkinson's disease (PD) is a neurological disorder that has a variety of observable motor-related symptoms such as slow movement, tremor, muscular rigidity, and impaired posture.…