JingZhang617/UCNet
UC-Net: Uncertainty Inspired RGB-D Saliency Detectionvia Conditional Variational Autoencoders, CVPR2020
PhD Candidate
Repositories
JingZhang617/UncertaintyEstimation
JingZhang617/cascaded_rgbd_sod
JingZhang617/COD-Rank-Localize-and-Segment
JingZhang617/Noise-aware-ABP-Saliency
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection
JingZhang617/Scribble_Saliency
Weakly-Supervised Salient Object Detection via Scribble Annotations, CVPR2020
JingZhang617/Joint_COD_SOD
JingZhang617/SSAV-Pytorch
JingZhang617/EBMGSOD
JingZhang617/blind-dps
An official pytorch implementation of "Parallel Diffusion Model of Operator and Image for Blind Inverse Problems" (CVPR 2023)
JingZhang617/Semi-sup-active-self-sup-Learning
JingZhang617/Visual_Prompting_adversarial_robustness
[ICASSP23] "Visual Prompting for Adversarial Robustness" by Aochuan Chen*, Peter Lorenz*, Yuguang Yao, Pin-Yu Chen, and Sijia Liu
JingZhang617/pytorch-diffusion-minist
A basic PyTorch implementation of 'Denoising Diffusion Probabilistic Models'
JingZhang617/uncertaintyestimation_iccv21.github.io
JingZhang617/hyperbolic-image-embeddings
Supplementary code for the paper "Hyperbolic Image Embeddings".
JingZhang617/Visual_Prompting_BlackVIP
Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"
JingZhang617/vpt
❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119
JingZhang617/Painter
Painter & SegGPT Series: Vision Foundation Models from BAAI
JingZhang617/ILM-VP
[CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, and Sijia Liu
JingZhang617/dpm-solver
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
JingZhang617/DiffusionDet
PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)
JingZhang617/SalCoopNets
JingZhang617/pytorch_diffusion
PyTorch reimplementation of Diffusion Models
JingZhang617/annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
JingZhang617/stable-diffusion
A latent text-to-image diffusion model
JingZhang617/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
JingZhang617/denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
JingZhang617/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
JingZhang617/score_sde
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
JingZhang617/CLD-SGM
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion