Dit-Yan Yeung

Situated Embedding Models for Context-Aware Dense Retrieval ACL 2026 CoherenDream: Boosting Holistic Text Coherence in 3D Generation via Multimodal Large Language Models Feedback AAAI 2026 G-VEval: A Versatile Metric for Evaluating Image and Video Captions Using GPT-4o AAAI 2025 EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions CVPR 2025 DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models EMNLP 2025 TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models WACV 2025 Automated Evaluation of Large Vision-Language Models on Self-Driving Corner Cases WACV 2025 Ref-Long: Benchmarking the Long-context Referencing Capability of Long-context Language Models ACL 2025 Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage ICLR 2025 Understanding LLMs’ Fluid Intelligence Deficiency: An Analysis of the ARC Task NAACL 2025 The Stochastic Parrot on LLM’s Shoulder: A Summative Assessment of Physical Concept Understanding NAACL 2025 Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models CVPR 2025 JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation ECCV 2024 Gaussian Shell Maps for Efficient 3D Human Generation CVPR 2024 DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception CVPR 2024 Implicit Concept Removal of Diffusion Models ECCV 2024 "Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation" ECCV 2024 Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis ICLR 2024 RoboDreamer: Learning Compositional World Models for Robot Imagination ICML 2024 Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability EMNLP 2024 Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting NIPS 2024 MagicDrive: Street View Generation with Diverse 3D Geometry Control ICLR 2024 Learning High-resolution Vector Representation from Multi-Camera Images for 3D Object Detection ECCV 2024 GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation ICLR 2024 Mixed Autoencoder for Self-Supervised Visual Representation Learning CVPR 2023 Detection Recovery in Online Multi-Object Tracking With Sparse Graph Tracker WACV 2023 Adaptive Online Replanning with Diffusion Models NIPS 2023 SongRewriter: A Chinese Song Rewriting System with Controllable Content and Rhyme Scheme ACL 2023 Towards Reference-free Text Simplification Evaluation with a BERT Siamese Network Architecture ACL 2023 Learning 3D-Aware Image Synthesis With Unknown Pose Distribution CVPR 2023 CLIP2: Contrastive Language-Image-Point Pretraining From Real-World Point Cloud Data CVPR 2023 Towards General Error Diagnosis via Behavioral Testing in Machine Translation EMNLP 2023 ILA-DA: Improving Transferability of Intermediate Level Attack with Data Augmentation ICLR 2023 SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation ICCV 2023 Controlled Text Generation Using Dictionary Prior in Variational Autoencoders ACL 2022 AdaAug: Learning Class- and Instance-adaptive Data Augmentation Policies ICLR 2022 Earthformer: Exploring Space-Time Transformers for Earth System Forecasting NIPS 2022 Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator NIPS 2022 CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving ECCV 2022 3D-Aware Indoor Scene Synthesis with Depth Priors ECCV 2022 Probing Toxic Content in Large Pre-Trained Language Models ACL 2021 Probing Toxic Content in Large Pre-Trained Language Models IJCNLP 2021 MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space ICLR 2021 MultiSiam: Self-Supervised Multi-Instance Siamese Representation Learning for Autonomous Driving ICCV 2021 Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets EMNLP 2020 Multilingual and Multi-Aspect Hate Speech Analysis EMNLP 2019 MARGINALIZED AVERAGE ATTENTIONAL NETWORK FOR WEAKLY-SUPERVISED LEARNING ICLR 2019 Multilingual and Multi-Aspect Hate Speech Analysis IJCNLP 2019 Learning Unmanned Aerial Vehicle Control for Autonomous Target Following IJCAI 2018 Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection ICCV 2017 Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model NIPS 2017 Spatiotemporal Modeling for Crowd Counting in Videos ICCV 2017 Lattice Long Short-Term Memory for Human Action Recognition ICCV 2017 Natural-Parameter Networks: A Class of Probabilistic Neural Networks NIPS 2016 Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks NIPS 2016 Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting NIPS 2015 Bayesian Adaptive Matrix Factorization With Automatic Model Selection CVPR 2015 DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting CVPR 2015 Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks ICCV 2015 Understanding and Diagnosing Visual Tracking Systems ICCV 2015 Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data ICML 2014 Online Robust Non-negative Dictionary Learning for Visual Tracking ICCV 2013 Learning High-Order Task Relationships in Multi-Task Learning IJCAI 2013 SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering IJCAI 2013 Learning a Deep Compact Image Representation for Visual Tracking NIPS 2013 Bayesian Robust Matrix Factorization for Image and Video Processing ICCV 2013 Co-Regularized Hashing for Multimodal Data NIPS 2012 Probabilistic Multi-Task Feature Selection NIPS 2010 Worst-Case Linear Discriminant Analysis NIPS 2010 Probabilistic Relational PCA NIPS 2009 Posterior Consistency of the Silverman g-prior in Bayesian Model Choice NIPS 2008