Xiangtao Kong
8 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π§ Keyword Pioneer π£ Hot Topic Early Bird π Cross-Pollinator (15) π Renaissance Researcher (6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(31)
π
Keyword Champion
(2)
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(51)
Conferences
CVPR (4)
AAAI (1)
ACL (1)
ICLR (1)
NIPS (1)
Top co-authors
Research topics
Keywords
image super-resolution
(2)
large language model
(2)
image deraining
(2)
benchmark evaluation
(2)
low-level vision
(2)
self-supervised learning
(1)
neural network optimization
(1)
computer vision
(1)
deep learning
(1)
image dehazing
(1)
image restoration
(1)
multi-modal learning
(1)
generalization ability
(1)
network optimization
(1)
generative model
(1)
image processing
(1)
diffusion model
(1)
generative prior
(1)
self-supervised pretraining
(1)
image reconstruction
(1)
Papers
Training on the Benchmark Is Not All You Need
AAAI 2025
Toward Generalizing Visual Brain Decoding to Unseen Subjects
ICLR 2025
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
CVPR 2024
E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models
ACL 2024
Networks are Slacking Off: Understanding Generalization Problem in Image Deraining
NIPS 2023
DegAE: A New Pretraining Paradigm for Low-Level Vision
CVPR 2023
Reflash Dropout in Image Super-Resolution
CVPR 2022
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic
CVPR 2021