Jiezhang Cao
19 papers · 2017–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(8)
🐣
Hot Topic Early Bird
🧬
Topic Evolution
🗃️
Keyword Collector
(86)
🚀
Conference Pioneer
💎
Century Club
(19)
⚡
Prolific Year
(5)
Conferences
CVPR (7)
ECCV (3)
NIPS (3)
AAAI (2)
ICML (2)
ACML (1)
ICCV (1)
Top co-authors
Keywords
image restoration
(4)
diffusion model
(4)
image reconstruction
(3)
snapshot compressive imaging
(3)
image super-resolution
(3)
optimal transport
(2)
generative adversarial network
(2)
neural network
(2)
distribution matching
(2)
event camera
(1)
channel attention
(1)
image generation
(1)
motion blur
(1)
video super-resolution
(1)
multimodal learning
(1)
loss landscape
(1)
attention mechanism
(1)
neural network optimization
(1)
talking head generation
(1)
self-supervised learning
(1)
Papers
Who is a Better Talker: Subjective and Objective Quality Assessment for AI-Generated Talking Heads
ICCV 2025
Restabilizing Diffusion Models with Predictive Noise Fusion Strategy for Image Super-Resolution
AAAI 2025
One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation
ICML 2025
Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising
CVPR 2024
MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging
NIPS 2024
DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model
CVPR 2024
Deep Equilibrium Diffusion Restoration with Parallel Sampling
CVPR 2024
Dual Prior Unfolding for Snapshot Compressive Imaging
CVPR 2024
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution
CVPR 2023
Event-Based Frame Interpolation With Ad-Hoc Deblurring
CVPR 2023
Towards Interpretable Video Super-Resolution via Alternating Optimization
ECCV 2022
Recurrent Video Restoration Transformer with Guided Deformable Attention
NIPS 2022
Reference-Based Image Super-Resolution with Deformable Attention Transformer
ECCV 2022
Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution
CVPR 2020
Generative Low-bitwidth Data Free Quantization
ECCV 2020
Multi-marginal Wasserstein GAN
NIPS 2019
Oversampling for Imbalanced Data via Optimal Transport
AAAI 2019
Adversarial Learning with Local Coordinate Coding
ICML 2018
On the Flatness of Loss Surface for Two-layered ReLU Networks
ACML 2017