Lewei Lu
37 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Artificial Intelligence
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Learning Types Β· Machine Learning
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Keywords
vision-language model
(8)
multimodal large language model
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multimodal learning
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object detection
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image generation
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video understanding
(3)
knowledge distillation
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visual question answering
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semantic segmentation
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large language model
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autonomous driving
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zero-shot learning
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visual representation
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representation learning
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multi-task learning
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reinforcement learning
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convolutional neural network
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vision transformer
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contrastive learning
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image classification
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Papers
ELV-Halluc: Benchmarking Semantic Aggregation Hallucinations in Video Understanding
CVPR 2026
EVA: Efficient Reinforcement Learning for End-to-End Video Agent
CVPR 2026
Scaling Spatial Intelligence with Multimodal Foundation Models
CVPR 2026
SenseSearch: Empowering Vision-Language Models with High-Resolution Agentic Search-Reasoning via Reinforcement Learning
CVPR 2026
Docopilot: Improving Multimodal Models for Document-Level Understanding
CVPR 2025
HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding
CVPR 2025
MaskGWM: A Generalizable Driving World Model with Video Mask Reconstruction
CVPR 2025
OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text
ICLR 2025
PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models
CVPR 2025
Spatial Preference Rewarding for MLLMs Spatial Understanding
ICCV 2025
Streamline Without Sacrifice - Squeeze out Computation Redundancy in LMM
ICML 2025
SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding
CVPR 2025
Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures
ICLR 2025
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
ICLR 2024
Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft
CVPR 2024
ControlLLM: Augment Language Models with Tools by Searching on Graphs
ECCV 2024
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications
CVPR 2024
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
CVPR 2024
Learning 1D Causal Visual Representation with De-focus Attention Networks
NeurIPS 2024
LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors
ICLR 2024
Masked AutoDecoder is Effective Multi-Task Vision Generalist
CVPR 2024
Modeling Continuous Motion for 3D Point Cloud Object Tracking
AAAI 2024
Needle In A Multimodal Haystack
NeurIPS 2024
Parameter-Inverted Image Pyramid Networks
NeurIPS 2024
The All-Seeing Project V2: Towards General Relation Comprehension of the Open World
ECCV 2024
VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks
NeurIPS 2024
Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning
NeurIPS 2024
Weakly Supervised Monocular 3D Detection with a Single-View Image
CVPR 2024
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision
CVPR 2023
Distilling Focal Knowledge From Imperfect Expert for 3D Object Detection
CVPR 2023
InternImage: Exploring Large-Scale Vision Foundation Models With Deformable Convolutions
CVPR 2023
Planning-Oriented Autonomous Driving
CVPR 2023
Scene as Occupancy
ICCV 2023
Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information
CVPR 2023
Deformable DETR: Deformable Transformers for End-to-End Object Detection
ICLR 2021
FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting
ICCV 2021
VL-BERT: Pre-training of Generic Visual-Linguistic Representations
ICLR 2020