Hieu Le

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, we incorporate spatial importance maps -- derived from conditioning signals or model attention -- i…Read more

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

Weston Bondurant, Srijan Das, Hieu Le, Stephanie Schuckers

Photorealistic 3D face avatars are increasingly deployed as reusable digital assets across applications such as telepresence, animation, and personalized media. At the same time, vision-language models (VLMs) can infer sensitive attributes from rendered images with open-ended sem…Read more

Learning to Generate Multiple Objects from Dense and Occluded Layouts

Bach-Hoang Ngo, Si-Tri Ngo, Hieu Le, Trung-Nghia Le

Text-to-image diffusion models fail to generate correct object counts in dense scenes, where overlapping instances collapse into indistinguishable structures despite appearing visually plausible. We identify this as instance ownership collapse: tokens from overlapping objects int…Read more

World Action Models Enable Continual Imitation Learning with Recurrent Generative Replays

Manish Kumar Govind, Dominick Reilly, Smit Patel, Hieu Le, Srijan Das

Going beyond predicting robot actions, World Action Models (WAMs) can also generate future visual observations. We build on this generative capability to propose Recurrent Generative Replay (REGEN), a continual imitation learning framework that synthesizes pseudo-replay trajector…Read more

Signal Whisperers: Enhancing Wireless Reception Using DRL-Guided Reflector Arrays

Hieu Le, Oguz Bedir, Mostafa Ibrahim, Jian Tao, Sabit Ekin