5 papers · 1 filter
MAGIC: Multimodal Alignment & Grounding-aware Instruction Coreset for Vision-Language Models
Shristi Das Biswas, Kaushik Roy
Instruction tuning of large vision-language models (LVLMs) increasingly depends on massive multimodal corpora, yet these datasets contain samples with substantial redundancy, low v…
HEART: Hyperspherical Embedding Alignment via Kent-Representation Traversal in Diffusion Models
Arani Roy, Shristi Das Biswas, Kaushik Roy
Text-to-image diffusion models can generate visually stunning images, yet, controlling what appears and how it appears, remains surprisingly difficult, especially when operating so…
Now You See It, Now You Don't - Instant Concept Erasure for Safe Text-to-Image and Video Generation
Shristi Das Biswas, Arani Roy, Kaushik Roy
Robust concept removal for text-to-image (T2I) and text-to-video (T2V) models is essential for their safe deployment. Existing methods, however, suffer from costly retraining, infe…
Towards Scalable Modeling of Compressed Videos for Efficient Action Recognition
Shristi Das Biswas, Efstathia Soufleri, Arani Roy +1
Training robust deep video representations has proven to be computationally challenging due to substantial decoding overheads, the enormous size of raw video streams, and their inh…
PIXELS: Progressive Image Xemplar-based Editing with Latent Surgery
Shristi Das Biswas, Matthew Shreve, Xuelu Li +2
Recent advancements in language-guided diffusion models for image editing are often bottle-necked by cumbersome prompt engineering to precisely articulate desired changes. An intui…