Jianan Li
24 papers · 2017–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (9) π Cross-Pollinator (9)
πΊοΈ
Taxonomy Completionist
(52)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π€
Dynamic Duo
(14)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(107)
π₯
Unstoppable
(5)
π
Century Club
(22)
Conferences
AAAI (5)
CVPR (5)
NIPS (5)
ECCV (3)
ICLR (2)
ACML (1)
ICCV (1)
IJCAI (1)
RSS (1)
Top co-authors
Keywords
point cloud
(5)
semantic segmentation
(4)
convolutional neural network
(3)
adversarial learning
(2)
object tracking
(2)
prototype learning
(2)
hyperspectral imaging
(2)
3d object detection
(2)
multispectral imaging
(2)
feature learning
(2)
corruption robustness
(2)
object detection
(2)
generative adversarial network
(2)
attention mechanism
(1)
sim-to-real transfer
(1)
contrastive learning
(1)
few-shot learning
(1)
3d vision
(1)
zero-shot learning
(1)
model architecture
(1)
Papers
MODA: The First Challenging Benchmark for Multispectral Object Detection in Aerial Images
AAAI 2026
HyperCOD: The First Challenging Benchmark and Baseline for Hyperspectral Camouflaged Object Detection
AAAI 2026
MUST: The First Dataset and Unified Framework for Multispectral UAV Single Object Tracking
CVPR 2025
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
Learning Humanoid Standing-up Control across Diverse Postures
RSS 2025
PvNeXt: Rethinking Network Design and Temporal Motion for Point Cloud Video Recognition
ICLR 2025
Density-Guided Semi-Supervised 3D Semantic Segmentation with Dual-Space Hardness Sampling
CVPR 2024
StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses
NIPS 2024
Target-Guided Adversarial Point Cloud Transformer Towards Recognition Against Real-world Corruptions
NIPS 2024
LASS3D: Language-Assisted Semi-Supervised 3D Semantic Segmentation with Progressive Unreliable Data Exploitation
ECCV 2024
Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken
ECCV 2024
Unified Single-Stage Transformer Network for Efficient RGB-T Tracking
IJCAI 2024
Open-Set Semantic Segmentation for Point Clouds via Adversarial Prototype Framework
CVPR 2023
Sample-adaptive Augmentation for Point Cloud Recognition Against Real-world Corruptions
ICCV 2023
Rethinking Few-Shot Medical Segmentation: A Vector Quantization View
CVPR 2023
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds
NIPS 2022
MsSVT: Mixed-scale Sparse Voxel Transformer for 3D Object Detection on Point Clouds
NIPS 2022
FH-Net: A Fast Hierarchical Network for Scene Flow Estimation on Real-World Point Clouds
ECCV 2022
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data
AAAI 2022
Pyramid Correlation based Deep Hough Voting for Visual Object Tracking
ACML 2021
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators
ICLR 2019
Dual Path Networks
NIPS 2017
Perceptual Generative Adversarial Networks for Small Object Detection
CVPR 2017