ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2309.14491
  4. Cited By
Unsupervised 3D Perception with 2D Vision-Language Distillation for
  Autonomous Driving

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

25 September 2023
Mahyar Najibi
Jingwei Ji
Yin Zhou
C. Qi
Xinchen Yan
Scott Ettinger
Drago Anguelov
ArXivPDFHTML

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

12 / 12 papers shown
Title
A Review of 3D Object Detection with Vision-Language Models
A Review of 3D Object Detection with Vision-Language Models
Ranjan Sapkota
Konstantinos I Roumeliotis
Rahul Harsha Cheppally
Marco Flores Calero
Manoj Karkee
VLM
82
2
0
25 Apr 2025
LeAP: Consistent multi-domain 3D labeling using Foundation Models
LeAP: Consistent multi-domain 3D labeling using Foundation Models
Simon Gebraad
Andras Palffy
Holger Caesar
137
1
0
06 Feb 2025
Learning 3D Perception from Others' Predictions
Learning 3D Perception from Others' Predictions
Jinsu Yoo
Zhenyang Feng
Tai-Yu Pan
Yihong Sun
Cheng Perng Phoo
Xiangyu Chen
Mark Campbell
Kilian Q. Weinberger
Bharath Hariharan
Wei-Lun Chao
67
1
0
03 Oct 2024
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object
  Detection
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection
A. Benfenati
P. Causin
Hang Yu
Zhedong Zheng
3DPC
46
2
0
01 Aug 2024
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
Aoran Xiao
Xiaoqin Zhang
Ling Shao
Shijian Lu
3DPC
38
18
0
31 May 2023
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory
Nur Muhammad (Mahi) Shafiullah
Chris Paxton
Lerrel Pinto
Soumith Chintala
Arthur Szlam
VLM
LM&Ro
CLIP
95
156
0
11 Oct 2022
Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D
  Image Representations
Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations
Vadim Tschernezki
Iro Laina
Diane Larlus
Andrea Vedaldi
186
185
0
07 Sep 2022
Decomposing NeRF for Editing via Feature Field Distillation
Decomposing NeRF for Editing via Feature Field Distillation
Sosuke Kobayashi
Eiichi Matsumoto
Vincent Sitzmann
175
328
0
31 May 2022
Open-vocabulary Object Detection via Vision and Language Knowledge
  Distillation
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
Xiuye Gu
Nayeon Lee
Weicheng Kuo
Huayu Chen
VLM
ObjD
225
898
0
28 Apr 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
298
3,700
0
11 Feb 2021
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Weijing Shi
Ragunathan
R. Rajkumar
3DPC
159
737
0
02 Mar 2020
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient
  Convolutional Neural Networks
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
Martin Engelcke
Dushyant Rao
Dominic Zeng Wang
Chi Hay Tong
Ingmar Posner
3DPC
192
522
0
21 Sep 2016
1