11 citations · 14 across the 8 of their papers we have counts for
4 papers · 1 filter
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression
Animesh Sinha, Bo Sun, Anmol Kalia +14
We introduce Style Tailoring, a recipe to finetune Latent Diffusion Models (LDMs) in a distinct domain with high visual quality, prompt alignment and scene diversity. We choose sti…
EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone
Shraman Pramanick, Yale Song, Sayan Nag +5
Video-language pre-training (VLP) has become increasingly important due to its ability to generalize to various vision and language tasks. However, existing egocentric VLP framewor…
End-to-End Neural Network Compression via Regularized Latency Surrogates
Anshul Nasery, Hardik Shah, Arun Sai Suggala +1
Neural network (NN) compression via techniques such as pruning, quantization requires setting compression hyperparameters (e.g., number of channels to be pruned, bitwidths for quan…
DIME-FM: DIstilling Multimodal and Efficient Foundation Models
Ximeng Sun, Pengchuan Zhang, Peizhao Zhang +3
Large Vision-Language Foundation Models (VLFM), such as CLIP, ALIGN and Florence, are trained on large-scale datasets of image-caption pairs and achieve superior transferability an…