Mahyar Najibi

papers

486

total citations

papers (11)

Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving

ICCV 2023arXiv

citations

GINA-3D: Learning To Generate Implicit Neural Assets in the Wild

CVPR 2023arXiv

citations

Revisiting 3D Object Detection From an Egocentric Perspective

NEURIPS 2021arXiv

citations

Improving the Intra-Class Long-Tail in 3D Detection via Rare Example Mining

ECCV 2022arXiv

citations

3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels

CVPR 2023arXiv

citations

Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation

ICML 2024arXiv

citations

SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators

ICLR 2025arXiv

citations

CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning

ICML 2025arXiv

citations

Mahyar Najibi

papers (11)

Offboard 3D Object Detection From Point Cloud Sequences

Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving

DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes

Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving

GINA-3D: Learning To Generate Implicit Neural Assets in the Wild

Revisiting 3D Object Detection From an Egocentric Perspective

Improving the Intra-Class Long-Tail in 3D Detection via Rare Example Mining

3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels

Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation

SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators

CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning

papers (11)

Offboard 3D Object Detection From Point Cloud Sequences

Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving

DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes

Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving

GINA-3D: Learning To Generate Implicit Neural Assets in the Wild

Revisiting 3D Object Detection From an Egocentric Perspective

Improving the Intra-Class Long-Tail in 3D Detection via Rare Example Mining

3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels

Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation

SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators

CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning