Baifeng Shi

scaling_on_scales. When do we not need larger vision models?

TOAST. Official code for "TOAST: Transfer Learning via Attention Steering"

AbSViT. Official code for "Top-Down Visual Attention from Analysis by Synthesis" (CVPR 2023 highlight)

DGAM-Weakly-Supervised-Action-Localization. Code for our paper "Weakly-Supervised Action Localization by Generative Attention Modeling" (CVPR2020)

InfoDrop. Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)

VARS. Official code for `Visual Attention Emerges from Recurrent Sparse Reconstruction' (ICML 2022)

ARML_Auxiliary_Task_Reweighting. Code for our paper "Auxiliary Task Reweighting for Minimum-data Learning" (NeurIPS 2020)

DeepLDA. Deep Linear Discriminant Analysis

Gaussian-Graphical-Model. term project for Bayesian Theory and Algorithms

act. Python

examples. A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

diffusion_policy. [RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion

SSAD_OSAD.

bfshi.github.io. HTML

VILA. VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.

Video-Classification. Python