Tingfa Xu
20 papers · 2017–2026 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (36) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🤝
Dynamic Duo
(16)
🧬
Topic Evolution
🚀
Conference Pioneer
🔥
Unstoppable · Bronze
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Prolific Year · Productive
💎
Century Club · Bronze
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Keyword Collector
(75)
Top co-authors
Research topics
Computer Vision
(14)
Analysis
(13)
Deep Learning
(12)
Architectures
(8)
Domain-Specific
(7)
Machine Learning
(6)
Processing
(4)
Artificial Intelligence
(3)
Core AI · Artificial Intelligence
(3)
Learning Types · Machine Learning
(3)
Application Areas
(2)
Core AI · Computer Vision
(2)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Keywords
point cloud
(3)
convolutional neural network
(3)
image restoration
(2)
generative adversarial network
(2)
object detection
(2)
3d vision
(2)
perceptual loss
(2)
multispectral imaging
(2)
semantic segmentation
(2)
corruption robustness
(2)
hyperspectral imaging
(2)
feature learning
(2)
motion deblurring
(1)
data augmentation
(1)
visual object tracking
(1)
adversarial learning
(1)
attention mechanism
(1)
video recognition
(1)
deep learning
(1)
medical image segmentation
(1)
Papers
HyperCOD: The First Challenging Benchmark and Baseline for Hyperspectral Camouflaged Object Detection
AAAI 2026
MODA: The First Challenging Benchmark for Multispectral Object Detection in Aerial Images
AAAI 2026
FBRT-YOLO: Faster and Better for Real-Time Aerial Image Detection
AAAI 2025
HSOD-BIT-V2: A Challenging Benchmark for Hyperspectral Salient Object Detection
AAAI 2025
MUST: The First Dataset and Unified Framework for Multispectral UAV Single Object Tracking
CVPR 2025
PvNeXt: Rethinking Network Design and Temporal Motion for Point Cloud Video Recognition
ICLR 2025
Register Anything: Estimating “Corresponding Prompts” for Segment Anything Model
MICCAI 2025
Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken
ECCV 2024
One registration is worth two segmentations
MICCAI 2024
Target-Guided Adversarial Point Cloud Transformer Towards Recognition Against Real-world Corruptions
NeurIPS 2024
Rethinking Few-Shot Medical Segmentation: A Vector Quantization View
CVPR 2023
Sample-adaptive Augmentation for Point Cloud Recognition Against Real-world Corruptions
ICCV 2023
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data
AAAI 2022
FH-Net: A Fast Hierarchical Network for Scene Flow Estimation on Real-World Point Clouds
ECCV 2022
MsSVT: Mixed-scale Sparse Voxel Transformer for 3D Object Detection on Point Clouds
NeurIPS 2022
Pyramid Correlation based Deep Hough Voting for Visual Object Tracking
ACML 2021
Human-Aware Motion Deblurring
ICCV 2019
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators
ICLR 2019
Deep Semantic Face Deblurring
CVPR 2018
Perceptual Generative Adversarial Networks for Small Object Detection
CVPR 2017