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cs.CV2026

Importance-Aware OBS Pruning for Diffusion Models

Ba-Thinh Lam, Srijan Das, Hieu Le

We propose importance-aware pruning for diffusion models, a training-free framework that prioritizes preserving parameters critical to semantically salient image regions. To do so,…

cs.CV2026

3D FaceShell: Attribute Transfer in 3D Face Avatars as a VLM Defense Mechanism

Weston Bondurant, Srijan Das, Hieu Le +1

Photorealistic 3D face avatars are increasingly deployed as reusable digital assets across applications such as telepresence, animation, and personalized media. At the same time, v…

cs.CV2026

TimeProVe: Propose, then Verify for Efficient Long Video Temporal Reasoning in Activities of Daily Living

Arkaprava Sinha, Dominick Reilly, Siddharth Krishnan +2

Long Video Question Answering (LVQA) requires identifying sparse, query-relevant evidence within hours-long untrimmed videos. Existing approaches either process videos densely with…

cs.CV2026

UNIEGO: Proxies as Mediators for Unified Egocentric Video Representation Learning

Wenhao Chi, Arkaprava Sinha, Dominick Reilly +2

Egocentric video understanding is inherently limited by the narrow perspective of wearable cameras: a single viewpoint, a single modality, a single model cannot capture the full ri…

cs.CV2025

MS-Temba: Multi-Scale Temporal Mamba for Understanding Long Untrimmed Videos

Arkaprava Sinha, Monish Soundar Raj, Pu Wang +3

Temporal Action Detection (TAD) in untrimmed videos poses significant challenges, particularly for Activities of Daily Living (ADL) requiring models to (1) process long-duration vi…

cs.CV2025

DiffSwap++: 3D Latent-Controlled Diffusion for Identity-Preserving Face Swapping

Weston Bondurant, Arkaprava Sinha, Hieu Le +2

Diffusion-based approaches have recently achieved strong results in face swapping, offering improved visual quality over traditional GAN-based methods. However, even state-of-the-a…