Our group actively publishes in top-tier venues in the fields of machine learning, computer vision, natural language processing, and interdisciplinary data science. Below is a list of recent and selected papers.

Preprint

  • L. Li, J. Li, ..., Z. Tu, ..., Y. Zhao, Y. Dong
    "Political-llm: Large language models in political science"
    Arxiv 2024. [Paper] [Project]
  • Q. Zheng, Y. Fan, L. Huang, T. Zhu, J. Liu, Z. Hao, X. Shuo, C.J. Chen, X. Min, A. Bovik, Z. Tu
    "Video Quality Assessment: A Comprehensive Survey"
    Arxiv 2024. [Paper] [Code]
  • T. Zhu, Q. Liu, F. Wang, Z. Tu, and M. Chen
    "Unraveling Cross-Modality Knowledge Conflict in Large Vision-Language Models"
    Arxiv 2024. [Paper] [Code]

Journal Articles

  • K. Wu, X. Ye, X. Li, Z. Tu, Y. Zhou
    "A Deep Learning Enabled Economical Transportation Informatization Framework with Sparsely Located Sensors"
    Nature Communications, 2026.
  • L. Jiang, L. Xu, P. Li, D. Hou, Q. Ge, D. Zhuang, S. Xing, W. Chen, X. Gao, ..., Z. Tu
    "TimePre: Bridging Accuracy, Efficiency, and Stability in Probabilistic Time-Series Forecasting"
    Transactions on Machine Learning Research, 2026. [Paper] [arXiv]
  • "Generative AI for Autonomous Driving: Frontiers and Opportunities"
    ACM Computing Surveys (CSUR), 2026. [Paper]
  • L. Jiang, D. Hou, Y. Wang, Y. Su, S. Xing, W. Chen, X. Zhang, Z. Tu, Z. Zhang, ...
    "A Compact Kolmogorov-Arnold Network Mixer for Long-term Time Series Forecasting"
    Scientific Reports, 2026. [arXiv]
  • F. Yang, B. Yu, Y. Zhou, X. Luo, Z. Tu, C. Liu
    "Edge-Based Multimodal Sensor Data Fusion with Vision-Language-Action (VLA) Model for Real-time Autonomous Vehicle Accident Avoidance"
    Engineering Applications of Artificial Intelligence (EAAI), 2026. [arXiv]
  • H. Choi, E.H. Lee, Z. Tu
    "KYA: Vision-Language Assistant for Emotional Reactions to Risky Driving"
    Transportation Research Record, 2026. [arXiv]
  • X. Ye, W. Gong, Y. Yang, L. Zou, Z. Tu, X. Huang, Z. Li, H. Ning, L. Wu
    "Towards Agentic Urban Digital Twins (AUDiTs): Advancing New Urban Science through Human-AI Co-learning Agents"
    Urban Informatics, 2026.
  • X. Huang, Z. Tu, X. Ye, M. Goodchild
    "The Role of Open-Source LLMs in Shaping the Future of GeoAI"
    Annals of GIS, 2026.
  • B. Li, J. Guo, Z. Xu, W. Liu, Y. Feng, A. Stockem Novo, Z. Tu, X. Li, H. Yu
    "Collaboration-aware Adversarial Training for Robust Vehicle-to-Everything Cooperative Perception"
    Transportation Research Part C: Emerging Technologies, 2026.
  • S. Xing, H. Hua, X. Gao, S. Zhu, R. Li, K. Tian, X. Li, H. Huang, T. Yang, Z. Wang, Y. Zhou, H. Yao, Z. Tu
    "AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving"
    Transactions on Machine Learning Research, 2025. [Paper] [Code]
  • Q. Zheng, L.-H. Chen, C. He, N. Berkbeck, Y. Wang, B. Adsumilli, A. Bovik, Y. Fan, Z. Tu
    "Subjective and Objective Quality Assessment of Banding Artifacts on Compressed Videos"
    IEEE Transactions on Image Processing (TIP), 2025. [Paper] [Code]
  • Z. Tu, C.J. Chen, J. Lin, Y. Wang, N. Birkbeck, B. Adsumilli, A.C. Bovik
    "Understanding, detecting, and removing perceptual banding artifacts in compressed videos"
    Signal Processing: Image Communication, 2025. [Paper] [Code]
  • R. Zhu, Z. Tu, J. Liu, A.C. Bovik, Y. Fan
    "MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers"
    IEEE Transactions on Image Processing, 2024. [Paper] [Code]
  • K. Mei, Z. Tu, M. Delbracio, H. Talebi, V. M. Patel, P. Milanfar
    "Bigger is not Always Better: Scaling Properties of Latent Diffusion Models"
    Transactions on Machine Learning Research, 2024. [Paper] [Openreview]
  • R. Xu, C.J. Chen, Z. Tu, M.H. Yang
    "V2X-ViTv2: Improved Vision Transformers for Vehicle-to-Everything Cooperative Perception"
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024. [Paper] [Code]
  • Q. Zheng*, Z. Tu*, PC Madhusudana, X. Zeng, A.C. Bovik, Y. Fan
    "FAVER: Blind Quality Prediction of Variable Frame Rate Videos"
    Signal Processing: Image Communication, 2024. [Paper] [Code]
  • Q. Zheng, Z. Tu, X. Zeng, AC Bovik, Y. Fan
    "A completely blind video quality evaluator"
    IEEE Signal Processing Letters, 2022. [Paper] [Code]
  • Z. Tu, X. Yu, Y. Wang, N. Birkbeck, B. Adsumilli, A.C. Bovik
    "RAPIQUE: Rapid and accurate video quality prediction of user generated content"
    IEEE Open Journal of Signal Processing, 2021. [Paper] [Code] [IEEE SPS Webinar]
    Highlighted in OJSP 2022-2023 newsletter, featured talk at IEEE SPS Webinar
  • Z. Tu, Y. Wang, N. Birkbeck, B. Adsumilli, A.C. Bovik
    "UGC-VQA: Benchmarking blind video quality assessment for user generated content"
    IEEE Transactions on Image Processing, 2021. [Paper] [Code]
  • Z. Tu, J. Lin, Y. Wang, B. Adsumilli, A.C. Bovik
    "Adaptive Debanding Filter"
    IEEE Signal Processing Letters, 2020. [Paper] [Code]

Conference Proceedings

2026

  • CW. Hu, S. Xing, R. A. Rossi, Z. Tu
    "Seeing Failure In Advance: Pre-Generation Failure Diagnosis for Multi-Modal Retrieval-Augmented-Generation"
    Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026. [Paper]
  • Y. Yang, W. Gong, K. Zhang, L. Zou, Z. Tu, H. Li, Z. Li, X. Ye
    "RAPID: A Reproducible Multi-Agent Pipeline for Interpretable Disaster Damage Assessment from Satellite and Street-View Imagery"
    ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Applications Track, 2026. Oral [Paper]
  • "CinematicVQA"
    IEEE International Workshop on Multimedia Signal Processing (MMSP), 2026.
  • "Personalized Auto-Research: Towards a True AI Co-Scientist"
    ACM AI Leadership Summit, 2026.
  • S. Xing, J. Hong, Y. Wang, R. Chen, Z. Zhang, A. Grama, Z. Tu, Z. Wang
    "LLMs Can Get 'Brain Rot': A Pilot Study on Twitter/X"
    Conference on Language Modeling (COLM), 2026. [Paper] [Code] [Project]
  • C. Kuai, J. Jiang, Z. Zhu, H. Wang, K. Wu, Z. Li, Y. Zhang, C. Liu, Z. Tu, Z. Fan, Y. Zhou
    "How Independent are Large Language Models? A Statistical Framework for Auditing Behavioral Entanglement and Reweighting Verifier Ensembles"
    Conference on Language Modeling (COLM), 2026. [Paper]
  • N. Chen, L. Liu, Z. Li, Z. Zeng, Z. Zhu, W. Cong, J. Hong, Y. Yang, Z. Tu, Y. Wang, B. Ivanovic, M. Pavone, Z. Wang, Y. Zhou, Z. Fan
    "CrashTwin: A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models"
    European Conference on Computer Vision (ECCV), 2026. [Paper] [Code] [Project]
  • Y. Huang, Y. Chen, Y. Jiang, J. Han, Z. Tu, Y. Yang, C. Jiang
    "Learn2Fold: Structured Origami Generation with World Model Planning"
    European Conference on Computer Vision (ECCV), 2026. [Paper]
  • J. Yu, X. Gao, P. Verlani, A. Gadde, Y. Wang, B. Adsumilli, Z. Tu
    "SparkVSR: Interactive Video Super-Resolution via Sparse Keyframe Propagation"
    European Conference on Computer Vision (ECCV), 2026. [Paper] [Code] [Project]
  • "Weather-Conditioned Depth Anything"
    European Conference on Computer Vision (ECCV), 2026.
  • H. Jiang, Y. Chaudhary, Y. Wang, Z. Wang, R. Sharma, M. Mehta, Y. Zhou, L. Sun, Z. Fan, Z. Tu, J. Li
    "NavTrust: Benchmarking Trustworthiness for Embodied Navigation"
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026. [Paper] [Project]
  • Z. Li, X. Chen, L. Jiang, D. Hou, F. Lin, K. Yamada, X. Gao, Z. Tu
    "PVIR-Bench: A Physics-Aware Benchmark for Video Instance Removal"
    PAVER Workshop, 2026. [Paper]
  • L. Qi, Y. Li, S. Liang, Z. Tu, D. Tao
    "Cert-LAS: Toward Certified Model Ownership Verification for Text-to-Image Diffusion Models via Layer-Adaptive Smoothing"
    International Conference on Machine Learning (ICML), 2026.
  • J. Kim, W. Chen, D. Soleymanzadeh, Y. Ding, X. Gao, Z. Tu, R. Zhang, F. Fei, S. Veer, Y. Lyu, M. Zheng, Y. Gu
    "Position: Modular Safety Guardrails Are Necessary for Foundation-Model-Enabled Robots in the Real World"
    International Conference on Machine Learning (ICML) Position Track, 2026. [Paper]
  • "Embodied4Arts: Robots as Creative Partners for Artistic, Expressive, and Craft Tasks"
    Robotics: Science and Systems (RSS) Workshop, 2026.
  • C.-W. Hu, Z. Tu
    "Region-R1: Reinforcing Query-Side Region Cropping for Multi-Modal Re-Ranking"
    Annual Meeting of the Association for Computational Linguistics (ACL) Findings, 2026. [Paper]
  • M. Shen, Z. Zhi, C. Liu, S. Xing, Z. Tu, C. Liu
    "Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models"
    Annual Meeting of the Association for Computational Linguistics (ACL), 2026. [Paper]
  • M. Wu, A. Mishra, S. Dey, S. Xing, N. Ravipati, H. Wu, B. Li, Z. Tu
    "ConsID-Gen: View-Consistent and Identity-Preserving Image-to-Video Generation"
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. [Paper]
  • F. Lin, Y. Wang, Y. Guo, Z. Huang, X. Huang, H. Zhang, K. Yamada, Z. Tu, L. Ren, Z. Zhang
    "NexusFlow: Unifying Disparate Tasks under Partial Supervision via Invertible Flow Networks"
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. [Paper]
  • Z. Fan, J. Zhang, R. Li, ..., T. Chen, J. Li, Z. Tu, Z. Wang, R. Ranjan
    "VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction"
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. [Paper]
  • J. Wang, H. Tan, B. Liao, A. Jiang, T. Fei, Q. Huang, B. Zhou, Z. Tu, S. Ye, Y. Kang
    "SounDiT: Geo-Contextual Soundscape-to-Landscape Generation"
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. [Paper]
  • M. Lu, R. Xu, Y. Fang, ..., Z. Tu, ..., X. Wang
    "Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs"
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. [Paper]
  • X. Luo, F. Yang, D. Fan, X. Gao, B. Yu, Z. Li, Z. Tu, Y. Zhou, C. Liu
    "V2X-UniPool: Unifying Multimodal Perception and Knowledge Reasoning for Autonomous Driving"
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
  • X. Jiang, Y. Xiong, X. Gao, Y. Huang, Z. Tu
    "HeckNav: Interpretable Heuristic Knowledge Navigation via Bayesian Probabilistic Inference"
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
  • P. Taghavi, T. Liu, R. Li, R. Langari, Z. Tu
    "Training a Student Expert via Semi-Supervised Foundation Model Distillation"
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
  • Z. Zhu, K.R. Huang, Z. Xu, R. Li, B. Wu, R. Bai, M. Wu, S. Paul, Z. Tu
    "4KLSDB: A Large-Scale Dataset for 4K Image Restoration and Text-to-Image Generation"
    CVPR DataCV Workshop, 2026.
  • M. Wu, S. Yang, S. Xing, A. Mishra, S. Dey, X. Gao, J. Zhao, J. Yu, F. Lin, Z. Tu, ...
    "VGBE 2026 Challenge on Image-to-Video Consistent Generation: Methods and Results"
    CVPR Workshops, 2026.
  • T. Wickremasinghe, C. Qi, H. Weligampola, Z. Tu, S.H. Chan
    "FlowSteer: Conditioning Flow Field for Consistent Image Restoration"
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. [Paper]
  • C. Qian, S. Xing, S. Li, Y. Zhao, Z. Tu
    "DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning"
    International Conference on Learning Representations (ICLR), 2026. [Paper]
  • H. Zhao, Z. Tu, Z. Zheng, W. Wang, J. Wang, R. Feagin, W. Jiao
    "Noisy-Pair Robust Representation Alignment for Positive-Unlabeled Learning"
    International Conference on Learning Representations (ICLR), 2026. [Paper]
  • Y. Wang, Y. Wang, Z. Yue, H. Zeng, Y. Wang, I. Lourentzou, Z. Tu, X. Chu, J. McAuley
    "FASA: Frequency-Aware Sparse Attention"
    International Conference on Learning Representations (ICLR), 2026. [Paper]
  • S. Li, R. Rossi, S. Kim, S. Choudhary, F. Dernoncourt, P. Mathur, Z. Tu, Y. Zhao
    "Charts Are Not Images: On the Challenges of Scientific Chart Editing"
    International Conference on Learning Representations (ICLR), 2026. [Paper]
  • TrustGen Team
    "On the Trustworthiness of Generative Foundation Models – Guideline, Assessment, and Perspective"
    International Conference on Learning Representations (ICLR), 2026. [Paper] [Project]
  • Y. Wu, X. Gao, Q. Tau, Z. Tu, D. Lee
    "Background Fades, Foreground Leads: Curriculum-Guided Background Pruning for Efficient Foreground-Centric Collaborative Perception"
    International Conference on Robotics and Automation (ICRA), 2026. [Paper]
  • Y. Huang, M. Wu, R. Li, Z. Tu
    "VISTA: Generative Visual Imagination for Vision-and-Language Navigation"
    International Conference on Robotics and Automation (ICRA), 2026. [Paper]
  • B. Ni, L. Wang, Y. Wang, ..., Z. Tu, ..., R.A. Rossi
    "A Survey on LLM-based Conversational User Simulation"
    European Chapter of the Association for Computational Linguistics (EACL) Findings, 2026. [Paper]
  • C. Kuai, C. Wu, Y. Zhou, B. Wang, T. Yang, Z. Tu, Z. Li, Y. Zhang
    "CyPortQA: Benchmarking Multimodal Large Language Models for Cyclone Preparedness in Port Operation"
    AAAI Conference on Artificial Intelligence (AAAI) Social Impact Track, 2026. Oral [Paper]
  • Y. He, Z. Yuan, Z. Tu, Y. Ye
    "DreamLand: Real-Time Interactive 4D Scene Generation"
    AAAI Conference on Artificial Intelligence (AAAI) Demo Track, 2026.

2025

  • Y. Zuo, Q. Zheng, M. Wu, X. Jiang, ..., L. V. Wang, J. Zou, X. Wang, M.-H. Yang, Z. Tu
    "4KAgent: agentic any image to 4K super-resolution"
    Advances in Neural Information Processing Systems (NeurIPS), 2025. #1 Paper of the Day (HuggingFace); Press cover [Project]
  • G. Li, M. Lin, T. Galanti, Z. Tu, T. Yang
    "DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization"
    Advances in Neural Information Processing Systems (NeurIPS), 2025. [Paper]
  • S. Shuo, Y. Wang, R. Bai, Y. Wang, C.-W. Hu, C. Qian, H. Yao, Z. Tu
    "Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization"
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025. [Project] [Paper]
  • K. Tian, J. Mao, Y. Zhang, J. Jiang, Y. Zhou, Z. Tu
    "NuScenes-SpatialQA: A spatial understanding and reasoning benchmark for vision-language models in autonomous driving"
    International Conference on Computer Vision (ICCV) WDFM Workshop, 2025. [Paper]
  • J Li, X Liu, B Li, R Xu, J Li, H Yu, Z Tu
    "CoMamba: Real-time cooperative perception unlocked with state space models"
    International Conference on Intelligent Robots and Systems (IROS), 2025. [Project] [Paper]
  • R Wang, X Gao, H Xiang, R Xu, Z Tu
    "CoCMT: Communication-efficient cross-modal transformer for collaborative perception"
    International Conference on Intelligent Robots and Systems (IROS), 2025. [Project] [Paper]
  • S Li, P Cai, Y Zhou, Z Ni, R Liang, Y Qin, Y Nian, Z Tu, X Hu, Y Zhao
    "Secure on-device video ood detection without backpropagation"
    International Conference on Computer Vision (ICCV), 2025. [Project] [Paper]
  • Y Wang, X Huang, X Sun, M Yan, S Xing, Z Tu, J Li
    "Uniocc: A unified benchmark for occupancy forecasting and prediction in autonomous driving"
    International Conference on Computer Vision (ICCV), 2025. [Project] [Paper]
  • X Gao, Y Wu, R Wang, C Liu, Y Zhou, Z Tu
    "LangCoop: Collaborative driving with language"
    Computer Vision and Pattern Recognition (CVPR) MEIS Workshop, 2025. Best Paper Award [Project] [Paper]
  • X. Sun et al. (TACO-SR Team)
    "NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results"
    Computer Vision and Pattern Recognition (CVPR) NTIRE Workshop, 2025. 1st Place (Track 2: KwaiSR) [Paper]
  • B. Ren, H. Guo, L. Sun, Z. Wu, R. Timofte, Y. Li, ..., Z. Tu, ...
    "The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report"
    Computer Vision and Pattern Recognition (CVPR) NTIRE Workshop, 2025.
  • A. Arora, Z. Tu, Y. Wang, R. Bai, J. Wang, S. Ma
    "GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution"
    IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2025.
  • M. Godbole, X. Gao, Z. Tu
    "DRAMA-X: A Fine-Grained Intent Prediction and Risk Reasoning Benchmark for Driving"
    IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2025.
  • Y. Li, X. Li, C.W. Zhou, S. Xing, H. Amirpour, X. Hao, G. Yue, B. Zhao, W. Liu, ..., Z. Tu, ...
    "VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results"
    IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2025.
  • H Wang, Y Zhang, R Bai, Y Zhao, S Liu, Z Tu
    "Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing"
    Computer Vision and Pattern Recognition (CVPR), 2025. [Project] [Paper]
  • Z Wang, J Guo, J Zhu, Y Li, H Huang, M Chen, Z Tu
    "SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models"
    Computer Vision and Pattern Recognition (CVPR), 2025. [Project] [Paper]
  • S Li, H Gong, H Dong, T Yang, Z Tu, Y Zhao
    "DPU: Dynamic prototype updating for multimodal out-of-distribution detection "
    Computer Vision and Pattern Recognition (CVPR), 2025. Highlight [Project] [Paper]
  • B Li, J Li, X Liu, R Xu, Z Tu, J Guo, X Li, H Yu
    "V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions"
    International Conference on Robotics and Automation (ICRA), 2025. [Project] [Paper] [Code]
  • R. Li, P. Pan, B. Yang, D. Xu, S. Zhou, X. Zhang, Z. Li, A. Kadambi, Z. Wang, Z. Tu, Z. Fan
    "4k4dgen: Panoramic 4d generation at 4k resolution"
    International Conference on Learning Representations (ICLR), 2025. Spotlight [Project] [Paper] [Code]
  • X. Gao, R. Xu, J. Li, Z. Wang, Z. Fan, Z. Tu
    "STAMP: Scalable Task- And Model-agnostic Collaborative Perception"
    International Conference on Learning Representations (ICLR), 2025. [Project] [Code]
  • X. Xing, C. Qian, Y. Wang, H. Hua, K. Tian, Y. Zhou, Z. Tu
    "OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving"
    Winter Conference on Applications of Computer Vision (WACV) Workshop, 2025. [Paper] [Code]
  • A. Mehta, B. McArthur, N. Kolloju, Z. Tu
    "HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection"
    Winter Conference on Applications of Computer Vision (WACV) Workshop, 2025. [Paper]

2024

  • C.-J. Chen, R. Xu, W. Shao, J. Zhang, Z. Tu
    "OpenCDA-∞: A Closed-loop Benchmarking Platform for End-to-end Evaluation of Cooperative Perception"
    NeurIPS Dataset and Benchmark Track (NeurIPS), 2024. [Paper] [Code]
  • C. Qi, Z. Tu, K. Ye, M. Delbracio, P. Milanfar, Q. Chen, H. Talebi
    "SPIRE: Semantic Prompt-Driven Image Restoration "
    European Conference on Computer Vision (ECCV), 2024. [Project] [Paper]
  • K. Mei, M. Delbracio, H. Talebi, Z. Tu, V.M. Patel, P. Milanfar
    "CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation"
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [Project] [Paper] [Code]
  • J. Li, B. Li, Z. Tu, X. Liu, Q. Guo, F. Juefei-Xu, R. Xu, H. Yu
    "Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving"
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [Project] [Paper] [Code]
  • C. He, Q. Zheng, R. Zhu, X. Zeng, Y. Fan, Z. Tu,
    "COVER: A comprehensive video quality evaluator"
    IEEE/CVF Computer Vision and Pattern Recognition (CVPR) Workshops, 2024. [Paper] [Code]
    🏆 1st place solution for AIS 2024 UGC Video Quality Assessment Challenge
    3rd place solution for AIM 2024 Challenge on Compressed Video Quality Assessment

2020-2023

  • Z. Tu, P. Milanfar, H. Talebi
    "MULLER: Multilayer Laplacian Resizer for Vision"
    IEEE/CVF International Conference on Computer Vision (ICCV), 2023. [Paper] [Code]
  • R. Xu, X. Xia, J. Li, H. Li, S. Zhang, Z. Tu, Z. Meng, H. Xiang, X. Dong, R. Song, H. Yu, B. Zhou, J. Ma
    "V2V4Real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception"
    IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023. Highlight [Project] [Paper] [Code]
  • Q. Zheng, Z. Tu, Z. Hao, X. Zeng, A.C. Bovik, Y. Fan
    "Blind Video Quality Assessment via Space-Time Slice Statistics"
    IEEE International Conference on Image Processing (ICIP), 2022. [Paper] [Code]
  • R Xu*, Z Tu*, H Xiang, W Shao, B Zhou, J Ma
    "CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers"
    Conference on Robot Learning (CoRL), 2022. [Paper] [Code]
  • Q. Zheng, Z. Tu, Y. Fan, X. Zeng, A.C. Bovik
    "No-Reference Quality Assessment of Variable Frame-Rate Videos Using Temporal Bandpass Statistics"
    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022. [Paper] [Code]
  • R Xu*, Z Tu*, Y Du*, X Dong, J Li, Z Meng, J Ma, A Bovik, H Yu
    "Pik-Fix: Restoring and Colorizing Old Photos"
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022. [Paper] [Code]
  • Z. Tu, H. Talebi, H. Zhang, F. Yang, P. Milanfar, A. Bovik, Y. Li
    "MaxViT: Multi-axis Vision Transformer"
    European Conference on Computer Vision (ECCV), 2022. [Paper] [Code]
    Highlighted on-top in Jeff Dean's 2022 Annual Google Research Blog; Selected as top-3 papers of the year in Ahead of AI #4: A Big Year for AI; Retweeted by the Yann Lecun: link; Most Influential ECCV Papers #8 (2024-09)
  • R. Xu*, H. Xiang*, Z. Tu*, X. Xia, M.H. Yang, J. Ma
    "V2X-ViT: Vehicle-to-everything cooperative perception with vision transformer"
    European Conference on Computer Vision (ECCV), 2022. [Paper] [Code]
  • Z. Tu, H. Talebi, H. Zhang, F. Yang, P. Milanfar, A. Bovik, Y. Li
    "MAXIM: Multi-Axis MLP for Image Processing"
    IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2022. [Paper] [Code]
    Best paper nomination award (0.4% of 8161 submissions)
  • X. Yu, Z. Tu, Z. Ying, A.C. Bovik, N. Birkbeck, Y. Wang, B. Adsumilli
    "Subjective quality assessment of user-generated content gaming videos"
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, 2022. [Paper] [Dataset]
  • Z. Tu, C.J. Chen, Y. Wang, N. Birkbeck, B. Adsumilli, A.C. Bovik
    "Video quality assessment of user generated content: A benchmark study and a new model"
    IEEE International Conference on Image Processing (ICIP), 2021. [Paper] [Code]
  • Z. Tu, C.J. Chen, Y. Wang, N. Birkbeck, B. Adsumilli, A.C. Bovik
    "A Temporal Statistics Model For UGC Video Quality Prediction"
    IEEE International Conference on Image Processing (ICIP), 2021. [Paper]
  • Z. Tu, C.J. Chen, Y. Wang, N. Birkbeck, B. Adsumilli, A.C. Bovik
    "Efficient user-generated video quality prediction"
    Picture Coding Symposium (PCS), 2021. [Paper] [Code]
  • Z. Tu, C.J. Chen, L.H. Chen, Y. Wang, N. Birkbeck, B. Adsumilli, A.C. Bovik
    "Regression or classification? new methods to evaluate no-reference picture and video quality models"
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021. [Paper]
  • Z. Tu, L.H. Chen, Y. Wang, N. Birkbeck, B. Adsumilli, A.C. Bovik
    "A comparative evaluation of temporal pooling methods for blind video quality assessment"
    IEEE International Conference on Image Processing (ICIP), 2020. [Paper]
  • Z. Tu, J. Lin, Y. Wang, N. Birkbeck, B. Adsumilli, A.C. Bovik
    "BBAND Index: a No-Reference Banding Artifact Predictor"
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020. [Paper] [Code]

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