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Image & Object Recognition

Image & Object Recognition

Image and object recognition

Human-Centered Evaluation of Aesthetic Quality Assessment Models Using a Smartphone Camera Application

Samuel Goree, Jackson Domingo, David J. Crandall
FAccT 2025
[paper]

Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition

Satoshi Tsutsui, Yanwei Fu, David J. Crandall
PAMI 2024
[paper]

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]

Few-shot segmentation and Semantic Segmentation for Underwater Imagery

Imran Kabir, Shaurya Shubham, Vijayalaxmi Bhimrao Maigur, Mahesh Ravindra Latnekar, Mayank Kumar Raunak, Nikhil Shripad Thakurdesai, David Crandall, et al.
IROS 2023

Zero-Shot Video Object Segmentation with Co-Attention Siamese Networks

Xiankai Lu, Wenguan Wang, Jianbing Shen, David Crandall, Jiebo Luo
PAMI 2022

Segmenting Objects from Relational Visual Data

Xiankai Lu, Wenguan Wang, Jianbing Shen, David J. Crandall, Luc Van Gool
PAMI 2022

Semantically Stealthy Adversarial Attacks against Segmentation Models

Zhenhua Chen, Chuhua Wang, David Crandall
WACV 2022
[paper] [video]

Part Segmentation of Unseen Objects Using Keypoint Guidance

Shujon Naha, Qingyang Xiao, Prianka Banik, Md Alimoor Reza, David J. Crandall
WACV 2021
[paper] [video]

Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification

Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, Jiebo Luo
ECCV 2020
[paper]

Automatically Detecting Bystanders in Photos to Reduce Privacy Risks

Rakibul Hasan, David Crandall, Mario Fritz, Apu Kapadia
Oakland 2020
[paper] [video]

HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation

Bardia Doosti, Shujon Naha, Majid Mirbagheri, David Crandall
CVPR 2020
[paper] [website] [video]

Learning Video Object Segmentation from Unlabeled Videos

Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David Crandall, Steven Hoi
CVPR 2020
[paper]

Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition

Satoshi Tsutsui, Yanwei Fu, David Crandall
NeurIPS 2019
[paper] [website]

Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks

Wenguan Wang, Xiankai Lu, Jianbing Shen, David Crandall, Ling Shao
ICCV 2019
[paper]

Automatic Annotation for Semantic Segmentation in Indoor Scenes

Md Alimoor Reza, Akshay Naik, Kai Chen, David Crandall
IROS 2019
[paper]

Toddler-Inspired Visual Object Learning

Sven Bambach, David Crandall, Linda Smith, Chen Yu
NeurIPS 2018
[paper]

Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos

Mingze Xu, Chenyou Fan, Yuchen Wang, Michael Ryoo, David Crandall
ECCV 2018
[paper] [website]

Minimizing Supervision for Free-space Segmentation

Satoshi Tsutsui, Tommi Kerola, Shunta Saito, David Crandall
CVPR Workshop on Autonomous Driving 2018
[paper]

A unified model for near and remote sensing

Scott Workman, Menghua Zhai, David Crandall, Nathan Jacobs
ICCV 2017
[paper]

A Data Driven Approach for Compound Figure Separation Using Convolutional Neural Networks

Satoshi Tsutsui, David J. Crandall
ICDAR 2017
[paper] [website]

Identifying first-person camera wearers in third-person videos

Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David Crandall, Michael Ryoo
CVPR 2017
[paper] [website]

Enhancing Lifelogging Privacy by Detecting Screens

Mohammed Korayem, Robert Templeman, Dennis Chen, David Crandall, Apu Kapadia
CHI 2016
[paper] [website]

Recognizing landmarks in large-scale social image collections

David Crandall, Yunpeng Li, Stefan Lee, Daniel Huttenlocher
Visual Analysis and Geolocalization of Large Scale Imagery 2016
[paper]

Human pose estimation through composite multi-layer models

Kun Duan, Dhruv Batra, David Crandall
Signal Processing 2015
[paper] [website]

Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions

Sven Bambach, Stefan Lee, David Crandall, Chen Yu
ICCV 2015
[paper] [website]

Predicting Geo-informative Attributes in Large-scale Image Collections using Convolutional Neural Networks

Stefan Lee, Haipeng Zhang, David Crandall
WACV 2015
[paper] [website]

Vehicle Recognition with Constrained Multiple Instance SVMs

Kun Duan, Luca Marchesotti, David Crandall
WACV 2014
[paper]

This Hand is MyHand: A Probabilistic Approach to Hand Disambiguation in Egocentric Video

Stefan Lee, Sven Bambach, David Crandall, John M. Franchak, Chen Yu
CVPR Egovision Workshop 2014
[paper]

Discovering Localized Attributes for Fine-grained Recognition

Kun Duan, Devi Parikh, David Crandall, Kristen Grauman
CVPR 2012
[paper] [website]

Solving Avatar Captchas automatically

Mohammed Korayem, Abdallah A. Mohamed, David Crandall, Roman V. Yampolskiy
AMLTA 2012
[paper]

Mapping the World's Photos

David Crandall, Lars Backstrom, Daniel Huttenlocher, Jon Kleinberg
WWW 2009
[paper] [website]

Composite Models of Objects and Scenes for Category Recognition

David Crandall, Daniel Huttenlocher
CVPR 2007
[paper]

Color Object Detection using Spatial-Color Joint Probability Functions

Jiebo Luo, David Crandall
TIP 2006

Weakly supervised learning of part-based spatial models for visual object recognition

David Crandall, Daniel Huttenlocher
ECCV 2006
[paper] [website]

Spatial Priors for Part-Based Recognition using Statistical Models

David Crandall, Pedro Felzenszwalb, Daniel Huttenlocher
CVPR 2005
[paper] [website]

Extraction of special effects caption text events from digital video

David Crandall, Sameer Antani, Rangachar Kasturi
IJDAR 2002
[paper]

A Framework for Reliable Text-Based Indexing of Video

Rangachar Kasturi, Sameer Antani, David Crandall
Symposium on Document Image Understanding Technology 2001
[paper]

Robust Extraction of Text in Video

Sameer Antani, David Crandall, Rangachar Kasturi
ICPR 2000
[paper]

Evaluation of Methods for Detection and Localization of Text from Video

Sameer Antani, David Crandall, Anand Narasimamurthy, Vladimir Y. Mariano, Rangachar Kasturi
IAPR Workshop on Document Analysis Systems 2000
[paper]

Image & Object Recognition

Image and object recognition

IU Computer Vision Lab resources