Zhuotao Tian
29 papers · 2019–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (12) 🧭 Keyword Pioneer 🏃 Academic Marathon (6) 🌍 Conference Polyglot (6) 🌈 Renaissance Researcher (6)
🏃
Academic Marathon
(6)
🌉
Interdisciplinary Bridge
🐝
Cross-Pollinator
(12)
🤝
Dynamic Duo
(16)
🔥
Unstoppable
(5)
💎
Century Club
(27)
🗃️
Keyword Collector
(135)
⚡
Prolific Year
(12)
Conferences
CVPR (13)
ICCV (4)
NIPS (4)
AAAI (3)
ECCV (3)
ACL (1)
ICLR (1)
Top co-authors
Keywords
semantic segmentation
(8)
point cloud
(5)
contrastive learning
(4)
transfer learning
(3)
representation learning
(3)
object detection
(3)
domain adaptation
(3)
few-shot learning
(2)
3d point cloud
(2)
semi-supervised learning
(2)
vision-language model
(2)
multimodal large language model
(2)
visual grounding
(2)
context-aware learning
(2)
scene understanding
(2)
efficient computing
(2)
cross-entropy loss
(2)
embedding learning
(2)
domain generalization
(1)
zero-shot learning
(1)
Papers
SemanticVLA: Semantic-Aligned Sparsification and Enhancement for Efficient Robotic Manipulation
AAAI 2026
Less Languages, Less Tokens: An Efficient Unified Logic Cross-lingual Chain-of-Thought Reasoning Framework
ACL 2026
RefDetector: A Simple Yet Effective Matching-based Method for Referring Expression Comprehension
AAAI 2025
VisionZip: Longer is Better but Not Necessary in Vision Language Models
CVPR 2025
Edit360: 2D Image Edits to 3D Assets from Any Angle
ICCV 2025
Mitigating Object Hallucinations via Sentence-Level Early Intervention
ICCV 2025
Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation
ICCV 2025
DeCLIP: Decoupled Learning for Open-Vocabulary Dense Perception
CVPR 2025
SaCo Loss: Sample-wise Affinity Consistency for Vision-Language Pre-training
CVPR 2024
Unified Language-driven Zero-shot Domain Adaptation
CVPR 2024
Typicalness-Aware Learning for Failure Detection
NIPS 2024
Referencing Where to Focus: Improving Visual Grounding with Referential Query
NIPS 2024
Decoupled Kullback-Leibler Divergence Loss
NIPS 2024
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation
CVPR 2024
LISA: Reasoning Segmentation via Large Language Model
CVPR 2024
Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training
CVPR 2024
GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding
CVPR 2024
Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models
ECCV 2024
Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation
ECCV 2024
Scalable Language Model with Generalized Continual Learning
ICLR 2024
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
CVPR 2023
Learning Context-Aware Classifier for Semantic Segmentation
AAAI 2023
DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation
ECCV 2022
Generalized Few-Shot Semantic Segmentation
CVPR 2022
Spatial Pruned Sparse Convolution for Efficient 3D Object Detection
NIPS 2022
Guided Point Contrastive Learning for Semi-Supervised Point Cloud Semantic Segmentation
ICCV 2021
Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency
CVPR 2021
Learning Shape-Aware Embedding for Scene Text Detection
CVPR 2019
Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation
CVPR 2019