Shijian Lu
Associate Professor
Works on computer vision and image and video analytics, including visual intelligence with deep learning.
Shijian Lu's lab at NTU works on video understanding and data management & big data. 100 papers since 2023, 77 at top venues, mostly CVPR and ICCV.
At a glance
- papers, 2023–2026
- 26/ year
- at T1 venues
- 77%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 15 papers2026 · T1 12 · collecting
- 26 papers2025 · T1 19
- 31 papers2024 · T1 22
- 28 papers2023 · T1 24
T1 venuesOtherVenues: CVPR, ICCV, NeurIPS, TPAMI, AAAI
Research focuspaper titles that use each topic's words
- Video understanding6 papers
- Data management & big data4 papers
- video analytics0 papers
- visual intelligence0 papers
- analytics0 papers
Paper list
From DBLP.
202615 papers
- ECCV (T1)3D-Aware VLMs with Implicit and Explicit Geometries (opens in a new tab)
- CVPR (T1)Boosting Reasoning in Large Multimodal Models via Activation Replay (opens in a new tab)
- CVPR (T1)Cross-Domain Few-Shot Segmentation via Multi-view Progressive Adaptation (opens in a new tab)
- Pattern RecognitionData-efficient generalization for zero-shot composed image retrieval (opens in a new tab)
- CVPR (T1)Direction-aware 3D Large Multimodal Models (opens in a new tab)
- AAAI (T1)Enhancing Retrieval-Augmented Large Vision Language Models via Knowledge Conflict Mitigation (opens in a new tab)
- TPAMI (T1)H2OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers (opens in a new tab)
- CVPR (T1)L3DR: 3D-aware LiDAR Diffusion and Rectification (opens in a new tab)
- CVPR (T1)LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling (opens in a new tab)
- IEEE Trans. Multim.MambaTAD: When State-Space Models Meet Long-Range Temporal Action Detection (opens in a new tab)
- AAAI (T1)MuSASplat: Efficient Sparse-View 3D Gaussian Splats via Lightweight Multi-Scale Adaptation (opens in a new tab)
- ICLR (T1)On the Generalization Capacities of MLLMs for Spatial Intelligence (opens in a new tab)
202526 papers
- AAAI (T1)Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger (opens in a new tab)
- NeurIPS (T1)Boosting Knowledge Utilization in Multimodal Large Language Models via Adaptive Logits Fusion and Attention Reallocation (opens in a new tab)
- WACVDivAvatar: Diverse 3D Avatar Generation with a Single Prompt (opens in a new tab)
- IEEE Trans. Geosci. Remote. Sens.EarthGPT-X: A Spatial MLLM for Multilevel Multisource Remote Sensing Imagery Understanding With Visual Prompting (opens in a new tab)
- ICCV (T1)Face Retouching with Diffusion Data Generation and Spectral Restorement (opens in a new tab)
- IEEE Trans. Geosci. Remote. Sens.HPMF: Hypergraph-Guided Prototype Mining Framework for Few-Shot Object Detection in Remote Sensing Images (opens in a new tab)
- CVPR (T1)Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention (opens in a new tab)
- EMNLP (T1)MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation (opens in a new tab)
- ICML (T1)MTL-UE: Learning to Learn Nothing for Multi-Task Learning (opens in a new tab)
- ICCV (T1)PacGDC: Label-Efficient Generalizable Depth Completion with Projection Ambiguity and Consistency (opens in a new tab)
- ICCV (T1)PCR-GS: COLMAP-Free 3D Gaussian Splatting via Pose Co-Regularizations (opens in a new tab)
- ICCV (T1)R1-VL: Learning to Reason with Multimodal Large Language Models via Step-Wise Group Relative Policy Optimization (opens in a new tab)
202431 papers
- TPAMI (T1)A Survey of Label-Efficient Deep Learning for 3D Point Clouds (opens in a new tab)
- ECCV (T1)CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model (opens in a new tab)
- CVPR (T1)Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining (opens in a new tab)
- ECCV (T1)DA-BEV: Unsupervised Domain Adaptation for Bird's Eye View Perception (opens in a new tab)
- NeurIPS (T1)Domain Adaptation for Large-Vocabulary Object Detectors (opens in a new tab)
- IEEE Trans. Intell. Transp. Syst.Domain Adaptive LiDAR Point Cloud Segmentation via Density-Aware Self-Training (opens in a new tab)
- IEEE Trans. Multim.Domain Adaptive LiDAR Point Cloud Segmentation With 3D Spatial Consistency (opens in a new tab)
- WACVEfficient MAE towards Large-Scale Vision Transformers (opens in a new tab)
- CVPR (T1)Efficient Test-Time Adaptation of Vision-Language Models (opens in a new tab)
- TPAMI (T1)Exploring Point-BEV Fusion for 3D Point Cloud Object Tracking With Transformer (opens in a new tab)
- IEEE Trans. Circuits Syst. Video Technol.Exploring Prototype-Anchor Contrast for Semantic Segmentation (opens in a new tab)
- CVPR (T1)FreGS: 3D Gaussian Splatting with Progressive Frequency Regularization (opens in a new tab)
202328 papers
- CVPR (T1)3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds (opens in a new tab)
- Pattern RecognitionAudio-driven talking face generation with diverse yet realistic facial animations (opens in a new tab)
- CVPR (T1)Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger (opens in a new tab)
- ICCV (T1)Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory (opens in a new tab)
- AAAI (T1)Class-Independent Regularization for Learning with Noisy Labels (opens in a new tab)
- TIP (T1)Cross-Domain Facial Expression Recognition via Contrastive Warm up and Complexity-Aware Self-Training (opens in a new tab)
- CVPR (T1)DA-DETR: Domain Adaptive Detection Transformer with Information Fusion (opens in a new tab)
- ICCV (T1)Domain Generalization via Balancing Training Difficulty and Model Capability (opens in a new tab)
- CVPR (T1)FAC: 3D Representation Learning via Foreground Aware Feature Contrast (opens in a new tab)
- CVPR WorkshopFace Transformer: Towards High Fidelity and Accurate Face Swapping (opens in a new tab)
- TPAMI (T1)Image-to-Character-to-Word Transformers for Accurate Scene Text Recognition (opens in a new tab)
- TPAMI (T1)Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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