3D & multimodal vision

3D and multimodal vision

Geometric Constraints in Deep Learning Frameworks: A Survey

Vibhas Vats, David Crandall
ACM Computing Surveys 2025
[paper]

HVPUNet: Hybrid-Voxel Point-cloud Upsampling Network

Juhyung Ha, Vibhas Kumar Vats, Alimoor Reza, Soon-heung Jung, David J. Crandall
ICCV 2025
[paper]

Multi-resolution Guided 3D GANs for Medical Image Translation

Juhyung Ha, Jong Sung Park, David Crandall, Eleftherios Garyfallidis, Xuhong Zhang
WACV 2025
[paper]

Deep learning-based 3D reconstruction from multiple images: A survey

Chuhua Wang, Md Alimoor Reza, Vibhas Vats, Yingnan Ju, Nikhil Thakurdesai, Yuchen Wang, David J. Crandall, et al.
Neurocomputing 2024

GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo

Vibhas K. Vats, Sripad Joshi, David J. Crandall, Md. Alimoor Reza, Soon-heung Jung
WACV 2024
[paper] [website] [video]

Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds

Junbo Yin, Jianbing Shen, Xin Gao, David Crandall, Ruigang Yang
PAMI 2023
[paper]

VindLU: A recipe for Effective Video-and-Language Pretraining

Feng Cheng, Xizi Wang, Jie Lei, David Crandall, Mohit Bansal, Gedas Bertasius
CVPR 2023
[paper] [video]

Error Diagnosis of Deep Monocular Depth Estimation Models

Jagpreet Chawla, Nikhil Shripad Thakurdesai, Anuj Balasaheb Godase, Md Alimoor Reza, David J. Crandall, Soon-Heung Jung
IROS 2021
[paper] [video]

Automatic dense annotation for monocular 3d scene understanding

Md Alimoor Reza, Kai Chen, Akshay Naik, David J. Crandall, Soon-Heung Jung
IEEE Access 2020
[paper]

A Computational Model of Early Word Learning from the Infant's Point of View

Satoshi Tsutsui, Arjun Chandrasekaran, Md Alimoor Reza, David Crandall, Chen Yu
CogSci 2020
[paper] [video]

How do infants start learning object names in a sea of clutter?

Hadar Karmazyn Raz, Drew H. Abney, David Crandall, Chen Yu, Linda Smith
CogSci 2019
[paper]

Deepdiary: Lifelogging image captioning and summarization

Chenyou Fan, Zehua Zhang, David Crandall
Journal of Visual Communication and Image Representation 2018
[paper] [website]

Diverse Beam Search for Improved Description of Complex Scenes

Ashwin Vijayakumar, Michael Cogswell, Ramprasaath Selvaraju, Qing Sun, Stefan Lee, David Crandall, Dhruv Batra
AAAI 2018
[paper]

Multi-Task Spatiotemporal Neural Networks for Structured Surface Reconstruction

Mingze Xu, Chenyou Fan, John Paden, Geoffrey Fox, David Crandall
WACV 2018
[paper] [website] [video]

SfM with MRFs: Discrete-Continuous Optimization for Large-Scale Structure from Motion

David Crandall, Andrew Owens, Noah Snavely, Daniel Huttenlocher
PAMI 2013
[paper] [website]

PlaceRaider: Virtual Theft in Physical Spaces with Smartphones

Robert Templeman, Zahidur Rahman, David Crandall, Apu Kapadia
NDSS 2013
[paper] [website]

Modeling people and places with internet photo collections

David Crandall, Noah Snavely
CACM 2012
[paper]

Discrete-Continuous Optimization for Large-scale Structure from Motion

David Crandall, Andrew Owens, Noah Snavely, Daniel Huttenlocher
CVPR 2011
[paper] [website]