papers

Publications (41)

cs.CV2021

Knowledge Evolution in Neural Networks

Ahmed Taha, Abhinav Shrivastava, Larry Davis

cs.CV2018

Boundary-sensitive Network for Portrait Segmentation

Xianzhi Du, Xiaolong Wang, Dawei Li +5

cs.CV2018

Deep Motion Boundary Detection

Xiaoqing Yin, Xiyang Dai, Xinchao Wang +3

cs.CV2022

Dual Contrastive Loss and Attention for GANs

Ning Yu, Guilin Liu, Aysegul Dundar +4

cs.CV2020

ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors

Rohun Tripathi, Vasu Singla, Mahyar Najibi +3

cs.CR2022

Responsible Disclosure of Generative Models Using Scalable Fingerprinting

Ning Yu, Vladislav Skripniuk, Dingfan Chen +2

cs.CV2021

Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories

Xitong Yang, Haoqi Fan, Lorenzo Torresani +2

cs.CV2018

Class Subset Selection for Transfer Learning using Submodularity

Varun Manjunatha, Srikumar Ramalingam, Tim K. Marks +1

cs.CV2019

Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints

Ning Yu, Larry Davis, Mario Fritz

cs.CV2018

Learning to Color from Language

Varun Manjunatha, Mohit Iyyer, Jordan Boyd-Graber +1

cs.CV2021

Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer

Arthita Ghosh, Max Ehrlich, Larry Davis +1

cs.LG2019

Deep Residual Learning in the JPEG Transform Domain

Max Ehrlich, Larry Davis

cs.CV2022

More Than Just Attention: Improving Cross-Modal Attentions with Contrastive Constraints for Image-Text Matching

Yuxiao Chen, Jianbo Yuan, Long Zhao +4

cs.CV2021

The Lottery Ticket Hypothesis for Object Recognition

Sharath Girish, Shishira R. Maiya, Kamal Gupta +3

cs.CV2018

Face-MagNet: Magnifying Feature Maps to Detect Small Faces

Pouya Samangouei, Mahyar Najibi, Larry Davis +1

cs.CV2020

Boosting Standard Classification Architectures Through a Ranking Regularizer

Ahmed Taha, Yi-Ting Chen, Teruhisa Misu +2

cs.CV2019

Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems

Ahmed Taha, Yi-Ting Chen, Xitong Yang +2

cs.CV2022

Neural Space-filling Curves

Hanyu Wang, Kamal Gupta, Larry Davis +1

cs.CV2021

Analyzing and Mitigating JPEG Compression Defects in Deep Learning

Max Ehrlich, Larry Davis, Ser-Nam Lim +1

cs.CV2024

BodyMetric: Evaluating the Realism of Human Bodies in Text-to-Image Generation

Nefeli Andreou, Varsha Vivek, Ying Wang +5

cs.CV2020

A Generic Visualization Approach for Convolutional Neural Networks

Ahmed Taha, Xitong Yang, Abhinav Shrivastava +1

cs.CV2018

Two Stream Self-Supervised Learning for Action Recognition

Ahmed Taha, Moustafa Meshry, Xitong Yang +2

cs.CV2021

SVMax: A Feature Embedding Regularizer

Ahmed Taha, Alex Hanson, Abhinav Shrivastava +1

cs.CV2018

Fused Deep Neural Networks for Efficient Pedestrian Detection

Xianzhi Du, Mostafa El-Khamy, Vlad I. Morariu +2

cs.CV2017

SSH: Single Stage Headless Face Detector

Mahyar Najibi, Pouya Samangouei, Rama Chellappa +1

eess.IV2023

Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement

Max Ehrlich, Jon Barker, Namitha Padmanabhan +4

cs.CV2021

Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistency

Soubhik Sanyal, Alex Vorobiov, Timo Bolkart +5

cs.CV2021

M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers

Tianrui Guan, Jun Wang, Shiyi Lan +4

cs.CV2021

VideoLT: Large-scale Long-tailed Video Recognition

Xing Zhang, Zuxuan Wu, Zejia Weng +4

cs.CV2020

Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors

Zuxuan Wu, Ser-Nam Lim, Larry Davis +1

cs.CV2016

Weakly Supervised Learning of Heterogeneous Concepts in Videos

Sohil Shah, Kuldeep Kulkarni, Arijit Biswas +3

cs.CV2021

LayoutTransformer: Layout Generation and Completion with Self-attention

Kamal Gupta, Justin Lazarow, Alessandro Achille +3

cs.CV2019

Unsupervised Data Uncertainty Learning in Visual Retrieval Systems

Ahmed Taha, Yi-Ting Chen, Teruhisa Misu +2

cs.CV2019

STEP: Spatio-Temporal Progressive Learning for Video Action Detection

Xitong Yang, Xiaodong Yang, Ming-Yu Liu +3

cs.CV2015

Learning Structured Ordinal Measures for Video based Face Recognition

Ran He, Tieniu Tan, Larry Davis +1

cs.CV2019

A weakly supervised adaptive triplet loss for deep metric learning

Xiaonan Zhao, Huan Qi, Rui Luo +1

cs.CV2016

Learning Discriminative Features via Label Consistent Neural Network

Zhuolin Jiang, Yaming Wang, Larry Davis +2

cs.CV2022

Hierarchical Contrastive Motion Learning for Video Action Recognition

Xitong Yang, Xiaodong Yang, Sifei Liu +3

cs.CV2017

The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives

Mohit Iyyer, Varun Manjunatha, Anupam Guha +4

eess.IV2020

Quantization Guided JPEG Artifact Correction

Max Ehrlich, Larry Davis, Ser-Nam Lim +1

cs.CV2020

Inclusive GAN: Improving Data and Minority Coverage in Generative Models

Ning Yu, Ke Li, Peng Zhou +3