Li Jiang
49 papers · 2010–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (67) π Conference Polyglot Β· Silver π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Conference Loyalist
(23)
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Keyword Champion
(2)
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Deep Specialist
(21)
π€
Dynamic Duo
(16)
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Conference Pioneer
π₯
Unstoppable Β· Bronze
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The Questioner
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(6)
ποΈ
Keyword Collector
(211)
Top co-authors
Research topics
Computer Vision
(32)
Analysis
(30)
Deep Learning
(26)
Machine Learning
(21)
Artificial Intelligence
(19)
Core AI
(15)
Learning Types Β· Machine Learning
(13)
Learning Types Β· Deep Learning
(13)
Architectures
(9)
Domain-Specific
(7)
Application Areas
(5)
Core Methods
(5)
Learning Paradigms
(5)
Processing
(5)
Reinforcement Learning
(4)
Keywords
point cloud
(18)
semantic segmentation
(14)
3d vision
(7)
3d object detection
(6)
scene understanding
(6)
object detection
(5)
autonomous driving
(5)
self-supervised learning
(5)
3d point cloud
(4)
offline reinforcement learning
(4)
3d semantic segmentation
(3)
point cloud processing
(3)
representation learning
(3)
semi-supervised learning
(3)
contrastive learning
(3)
3d scene understanding
(3)
multimodal learning
(3)
transformer architecture
(3)
context-aware learning
(2)
feature alignment
(2)
Papers
Calibrated Speculative Decoding: Frequency-Guided Candidate Selection for Efficient Inference
ACL 2026
GeoPredict: Leveraging Predictive Kinematics and 3D Gaussian Geometry for Precise VLA Manipulation
CVPR 2026
SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization
AAAI 2026
SymphoMotion: Joint Control of Camera Motion and Object Dynamics for Coherent Video Generation
CVPR 2026
3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer
CVPR 2025
Are Expressive Models Truly Necessary for Offline RL?
AAAI 2025
DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving
ICCV 2025
Edit360: 2D Image Edits to 3D Assets from Any Angle
ICCV 2025
Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation
ICCV 2025
FlexQuant: A Flexible and Efficient Dynamic Precision Switching Framework for LLM Quantization
EMNLP 2025
JiSAM: Alleviate Labeling Burden and Corner Case Problems in Autonomous Driving via Minimal Real-World Data
CVPR 2025
LiON: Learning Point-Wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data
AAAI 2025
Mitigating Object Hallucinations via Sentence-Level Early Intervention
ICCV 2025
FreePoint: Unsupervised Point Cloud Instance Segmentation
CVPR 2024
GiT: Towards Generalist Vision Transformer through Universal Language Interface
ECCV 2024
GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding
CVPR 2024
MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment
ECCV 2024
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation
CVPR 2024
Open-Vocabulary 3D Semantic Segmentation with Foundation Models
CVPR 2024
Point Transformer V3: Simpler Faster Stronger
CVPR 2024
Training Vision Transformers for Semi-Supervised Semantic Segmentation
CVPR 2024
Unified Language-driven Zero-shot Domain Adaptation
CVPR 2024
Learning Context-Aware Classifier for Semantic Segmentation
AAAI 2023
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL
NeurIPS 2023
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization
ICLR 2023
Self-Supervised Pre-Training With Masked Shape Prediction for 3D Scene Understanding
CVPR 2023
A Policy-Guided Imitation Approach for Offline Reinforcement Learning
NeurIPS 2022
A Unified Query-Based Paradigm for Point Cloud Understanding
CVPR 2022
Boosting 3D Object Detection by Simulating Multimodality on Point Clouds
CVPR 2022
DODA: Data-Oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation
ECCV 2022
Generalized Few-Shot Semantic Segmentation
CVPR 2022
Motion Transformer with Global Intention Localization and Local Movement Refinement
NeurIPS 2022
Point Transformer V2: Grouped Vector Attention and Partition-based Pooling
NeurIPS 2022
SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks
AAAI 2022
Stratified Transformer for 3D Point Cloud Segmentation
CVPR 2022
Bidirectional Projection Network for Cross Dimension Scene Understanding
CVPR 2021
CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud
AAAI 2021
Guided Point Contrastive Learning for Semi-Supervised Point Cloud Semantic Segmentation
ICCV 2021
Improving Neural Network Efficiency via Post-Training Quantization With Adaptive Floating-Point
ICCV 2021
Point Transformer
ICCV 2021
Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency
CVPR 2021
SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud
CVPR 2021
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
CVPR 2020
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
CVPR 2020
Amodal Instance Segmentation With KINS Dataset
CVPR 2019
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
ICCV 2019
PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing
CVPR 2019
GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction
ECCV 2018
Tibetan Number Identification Based on Classification of Number Components in Tibetan Word Segmentation
COLING 2010