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. 2209.12028
  4. Cited By
Towards Explainable 3D Grounded Visual Question Answering: A New
  Benchmark and Strong Baseline

Towards Explainable 3D Grounded Visual Question Answering: A New Benchmark and Strong Baseline

24 September 2022
Lichen Zhao
Daigang Cai
Jing Zhang
Lu Sheng
Dong Xu
Ruizhi Zheng
Yinjie Zhao
Lipeng Wang
Xibo Fan
ArXivPDFHTML

Papers citing "Towards Explainable 3D Grounded Visual Question Answering: A New Benchmark and Strong Baseline"

15 / 15 papers shown
Title
3D Question Answering for City Scene Understanding
3D Question Answering for City Scene Understanding
Penglei Sun
Yaoxian Song
Xiang Liu
Xiaofei Yang
Qiang-qiang Wang
Tiefeng Li
Yang Yang
Xiaowen Chu
23
1
0
24 Jul 2024
SHMamba: Structured Hyperbolic State Space Model for Audio-Visual
  Question Answering
SHMamba: Structured Hyperbolic State Space Model for Audio-Visual Question Answering
Zhe Yang
Wenrui Li
Guanghui Cheng
Mamba
28
0
0
14 Jun 2024
Unifying 3D Vision-Language Understanding via Promptable Queries
Unifying 3D Vision-Language Understanding via Promptable Queries
Ziyu Zhu
Zhuofan Zhang
Xiaojian Ma
Xuesong Niu
Yixin Chen
Baoxiong Jia
Zhidong Deng
Siyuan Huang
Qing Li
48
21
0
19 May 2024
Think-Program-reCtify: 3D Situated Reasoning with Large Language Models
Think-Program-reCtify: 3D Situated Reasoning with Large Language Models
Qingrong He
Kejun Lin
Shizhe Chen
Anwen Hu
Qin Jin
LRM
50
1
0
23 Apr 2024
Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion
  Approach for 3D VQA
Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA
Wentao Mo
Yang Liu
24
6
0
24 Feb 2024
LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding,
  Reasoning, and Planning
LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning
Sijin Chen
Xin Chen
C. Zhang
Mingsheng Li
Gang Yu
Hao Fei
Erik Cambria
Jiayuan Fan
Tao Chen
MLLM
29
82
0
30 Nov 2023
Single-view 3D Scene Reconstruction with High-fidelity Shape and Texture
Single-view 3D Scene Reconstruction with High-fidelity Shape and Texture
Yixin Chen
Junfeng Ni
Nan Jiang
Yaowei Zhang
Yixin Zhu
Siyuan Huang
3DV
30
21
0
01 Nov 2023
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale
  Point Cloud Data
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data
Taiki Miyanishi
Fumiya Kitamori
Shuhei Kurita
Jungdae Lee
M. Kawanabe
Nakamasa Inoue
AI4TS
3DPC
17
6
0
28 Oct 2023
3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment
3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment
Ziyu Zhu
Xiaojian Ma
Yixin Chen
Zhidong Deng
Siyuan Huang
Qing Li
LM&Ro
34
104
0
08 Aug 2023
NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for
  Autonomous Driving Scenario
NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving Scenario
Tianwen Qian
Jingjing Chen
Linhai Zhuo
Yang Jiao
Yueping Jiang
29
137
0
24 May 2023
Vision-Language Pre-training with Object Contrastive Learning for 3D
  Scene Understanding
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding
Zhang Tao
Su He
D. Tao
Bin Chen
Zhi Wang
Shutao Xia
VLM
37
22
0
18 May 2023
Multi-modal Large Language Model Enhanced Pseudo 3D Perception Framework
  for Visual Commonsense Reasoning
Multi-modal Large Language Model Enhanced Pseudo 3D Perception Framework for Visual Commonsense Reasoning
Jian Zhu
Hanli Wang
Miaojing Shi
LRM
24
4
0
30 Jan 2023
How Much Can CLIP Benefit Vision-and-Language Tasks?
How Much Can CLIP Benefit Vision-and-Language Tasks?
Sheng Shen
Liunian Harold Li
Hao Tan
Joey Tianyi Zhou
Anna Rohrbach
Kai-Wei Chang
Z. Yao
Kurt Keutzer
CLIP
VLM
MLLM
202
405
0
13 Jul 2021
InstanceRefer: Cooperative Holistic Understanding for Visual Grounding
  on Point Clouds through Instance Multi-level Contextual Referring
InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring
Zhihao Yuan
Xu Yan
Yinghong Liao
Ruimao Zhang
Sheng Wang
Zhen Li
Shuguang Cui
71
129
0
01 Mar 2021
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,131
0
02 Dec 2016
1