Xiangyu Chen
33 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Interdisciplinary Bridge π Conference Polyglot (9) π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Cross-Pollinator
(6)
πΊοΈ
Taxonomy Completionist
(46)
π
Conference Polyglot
(9)
π
Triple Crown
π
Grand Slam
π₯
Mega-Team
(22)
π§¬
Topic Evolution
π
Century Club
(32)
π
Trend Setter
ποΈ
Keyword Collector
(116)
β‘
Prolific Year
(6)
π₯
Unstoppable
(7)
Conferences
ICLR (6)
CVPR (5)
AAAI (4)
ICCV (4)
ICML (4)
NIPS (4)
ECCV (3)
WACV (2)
UAI (1)
Top co-authors
Keywords
image restoration
(4)
3d object detection
(3)
autonomous driving
(3)
semantic segmentation
(3)
domain adaptation
(3)
image super-resolution
(3)
object detection
(2)
lidar point cloud
(2)
attention mechanism
(2)
image enhancement
(2)
model compression
(2)
video restoration
(2)
video processing
(2)
belief propagation
(1)
vision transformer
(1)
semi-supervised learning
(1)
differential privacy
(1)
imitation learning
(1)
weakly supervised learning
(1)
model security
(1)
Papers
LatentLLM: Activation-Aware Transform to Multi-Head Latent Attention
AAAI 2026
Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression
AAAI 2025
Learning 3D Perception from Others' Predictions
ICLR 2025
WeatherGFM: Learning a Weather Generalist Foundation Model via In-context Learning
ICLR 2025
DiffVSR: Revealing an Effective Recipe for Taming Robust Video Super-Resolution Against Complex Degradations
ICCV 2025
Direction-Aware Video DemoirΓ©ing with Temporal-Guided Bilateral Learning
AAAI 2024
DiffuBox: Refining 3D Object Detection with Point Diffusion
NIPS 2024
Image Demoireing in RAW and sRGB Domains
ECCV 2024
A Comparative Study of Image Restoration Networks for General Backbone Network Design
ECCV 2024
SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution
ICLR 2024
Unifying Image Processing as Visual Prompting Question Answering
ICML 2024
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
NIPS 2023
Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery
NIPS 2023
Real-World Image Super-Resolution as Multi-Task Learning
NIPS 2023
Low-Light Video Enhancement with Synthetic Event Guidance
AAAI 2023
Effective Ambiguity Attack Against Passport-Based DNN Intellectual Property Protection Schemes Through Fully Connected Layer Substitution
CVPR 2023
Activating More Pixels in Image Super-Resolution Transformer
CVPR 2023
Under-Display Camera Image Restoration with Scattering Effect
ICCV 2023
Learning Iterative Neural Optimizers for Image Steganography
ICLR 2023
DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models
ICML 2023
Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning
UAI 2023
Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets
WACV 2023
Ithaca365: Dataset and Driving Perception Under Repeated and Challenging Weather Conditions
CVPR 2022
Fixed Neural Network Steganography: Train the images, not the network
ICLR 2022
TAPE: Task-Agnostic Prior Embedding for Image Restoration
ECCV 2022
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception
ICLR 2022
A New Journey From SDRTV to HDRTV
ICCV 2021
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
ICML 2021
Cyclically Equivariant Neural Decoders for Cyclic Codes
ICML 2021
DANCE: A Deep Attentive Contour Model for Efficient Instance Segmentation
WACV 2021
Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization
CVPR 2020
Train in Germany, Test in the USA: Making 3D Object Detectors Generalize
CVPR 2020
Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection
ICCV 2019