Srikrishna Karanam

research

∙ 09/01/2023

Iterative Multi-granular Image Editing using Diffusion Models

Recent advances in text-guided image synthesis has dramatically changed ...

0 K J Joseph, et al. ∙

research

∙ 08/31/2023

Learning with Multi-modal Gradient Attention for Explainable Composed Image Retrieval

We consider the problem of composed image retrieval that takes an input ...

0 Prateksha Udhayanan, et al. ∙

research

∙ 07/03/2023

Contextual Prompt Learning for Vision-Language Understanding

Recent advances in multimodal learning has resulted in powerful vision-l...

0 Koustava Goswami, et al. ∙

research

∙ 06/26/2023

Learning with Difference Attention for Visually Grounded Self-supervised Representations

Recent works in self-supervised learning have shown impressive results o...

0 Aishwarya Agarwal, et al. ∙

research

∙ 06/26/2023

A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis

While recent developments in text-to-image generative models have led to...

0 Aishwarya Agarwal, et al. ∙

research

∙ 02/28/2023

Audio Retrieval for Multimodal Design Documents: A New Dataset and Algorithms

We consider and propose a new problem of retrieving audio files relevant...

0 Prachi Singh, et al. ∙

research

∙ 09/10/2022

Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation

Federated Learning (FL) is a machine learning paradigm where local nodes...

0 Xuan Gong, et al. ∙

research

∙ 09/10/2022

Self-supervised Human Mesh Recovery with Cross-Representation Alignment

Fully supervised human mesh recovery methods are data-hungry and have po...

0 Xuan Gong, et al. ∙

research

∙ 07/12/2022

PseudoClick: Interactive Image Segmentation with Click Imitation

The goal of click-based interactive image segmentation is to obtain prec...

0 Qin Liu, et al. ∙

research

∙ 12/23/2021

Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis

We consider the problem of abnormality localization for clinical applica...

20 Xi Ouyang, et al. ∙

research

∙ 07/27/2021

Learning Local Recurrent Models for Human Mesh Recovery

We consider the problem of estimating frame-level full human body meshes...

2 Runze Li, et al. ∙

research

∙ 07/25/2021

Spatio-Temporal Representation Factorization for Video-based Person Re-Identification

Despite much recent progress in video-based person re-identification (re...

6 Abhishek Aich, et al. ∙

research

∙ 07/13/2021

Everybody Is Unique: Towards Unbiased Human Mesh Recovery

We consider the problem of obese human mesh recovery, i.e., fitting a pa...

9 Ren Li, et al. ∙

research

∙ 05/01/2021

A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts

Despite substantial progress in applying neural networks (NN) to a wide ...

15 Yunhao Ge, et al. ∙

research

∙ 08/13/2020

Towards Visually Explaining Similarity Models

We consider the problem of visually explaining similarity models, i.e., ...

17 Meng Zheng, et al. ∙

research

∙ 03/09/2020

Hierarchical Kinematic Human Mesh Recovery

We consider the problem of estimating a parametric model of 3D human mes...

5 Georgios Georgakis, et al. ∙

research

∙ 11/18/2019

Towards Visually Explaining Variational Autoencoders

Recent advances in Convolutional Neural Network (CNN) model interpretabi...

85 Wenqian Liu, et al. ∙

research

∙ 11/18/2019

Towards Robust RGB-D Human Mesh Recovery

We consider the problem of human pose estimation. While much recent work...

0 Ren Li, et al. ∙

research

∙ 11/18/2019

Learning Similarity Attention

We consider the problem of learning similarity functions. While there ha...

0 Meng Zheng, et al. ∙

research

∙ 12/01/2018

Multi-View Egocentric Video Summarization

With vast amounts of video content being uploaded to the Internet every ...

0 Mohamed Elfeki, et al. ∙

research

∙ 11/29/2018

Incremental Scene Synthesis

We present a method to incrementally generate complete 2D or 3D scenes w...

4 Benjamin Planche, et al. ∙

research

∙ 11/19/2018

Re-Identification with Consistent Attentive Siamese Networks

We propose a new deep architecture for person re-identification (re-id)....

0 Meng Zheng, et al. ∙

research

∙ 11/19/2018

Reducing Visual Confusion with Discriminative Attention

Recent developments in gradient-based attention modeling have led to imp...

0 Lezi Wang, et al. ∙

research

∙ 11/18/2018

Matching RGB Images to CAD Models for Object Pose Estimation

We propose a novel method for 3D object pose estimation in RGB images, w...

0 Georgios Georgakis, et al. ∙

research

∙ 08/16/2018

Measuring the Temporal Behavior of Real-World Person Re-Identification

Designing real-world person re-identification (re-id) systems requires a...

0 Meng Zheng, et al. ∙

research

∙ 02/22/2018

End-to-end learning of keypoint detector and descriptor for pose invariant 3D matching

Finding correspondences between images or 3D scans is at the heart of ma...

0 Georgios Georgakis, et al. ∙

research

∙ 11/16/2017

Learning Compositional Visual Concepts with Mutual Consistency

Compositionality of semantic concepts in image synthesis and analysis is...

0 Yunye Gong, et al. ∙

research

∙ 06/02/2017

Rank Persistence: Assessing the Temporal Performance of Real-World Person Re-Identification

Designing useful person re-identification systems for real-world applica...

0 Srikrishna Karanam, et al. ∙

research

∙ 05/31/2016

A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets

Person re-identification (re-id) is a critical problem in video analytic...

0 Srikrishna Karanam, et al. ∙

Srikrishna Karanam

Featured Co-authors