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09/01/2023
Iterative Multi-granular Image Editing using Diffusion Models
Recent advances in text-guided image synthesis has dramatically changed ...
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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 ...
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07/03/2023
Contextual Prompt Learning for Vision-Language Understanding
Recent advances in multimodal learning has resulted in powerful vision-l...
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06/26/2023
Learning with Difference Attention for Visually Grounded Self-supervised Representations
Recent works in self-supervised learning have shown impressive results o...
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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...
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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...
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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...
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09/10/2022
Self-supervised Human Mesh Recovery with Cross-Representation Alignment
Fully supervised human mesh recovery methods are data-hungry and have po...
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07/12/2022
PseudoClick: Interactive Image Segmentation with Click Imitation
The goal of click-based interactive image segmentation is to obtain prec...
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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...
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07/27/2021
Learning Local Recurrent Models for Human Mesh Recovery
We consider the problem of estimating frame-level full human body meshes...
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07/25/2021
Spatio-Temporal Representation Factorization for Video-based Person Re-Identification
Despite much recent progress in video-based person re-identification (re...
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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...
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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 ...
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08/13/2020
Towards Visually Explaining Similarity Models
We consider the problem of visually explaining similarity models, i.e., ...
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03/09/2020
Hierarchical Kinematic Human Mesh Recovery
We consider the problem of estimating a parametric model of 3D human mes...
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11/18/2019
Towards Visually Explaining Variational Autoencoders
Recent advances in Convolutional Neural Network (CNN) model interpretabi...
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11/18/2019
Towards Robust RGB-D Human Mesh Recovery
We consider the problem of human pose estimation. While much recent work...
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11/18/2019
Learning Similarity Attention
We consider the problem of learning similarity functions. While there ha...
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12/01/2018
Multi-View Egocentric Video Summarization
With vast amounts of video content being uploaded to the Internet every ...
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11/29/2018
Incremental Scene Synthesis
We present a method to incrementally generate complete 2D or 3D scenes w...
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11/19/2018
Re-Identification with Consistent Attentive Siamese Networks
We propose a new deep architecture for person re-identification (re-id)....
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11/19/2018
Reducing Visual Confusion with Discriminative Attention
Recent developments in gradient-based attention modeling have led to imp...
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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...
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08/16/2018
Measuring the Temporal Behavior of Real-World Person Re-Identification
Designing real-world person re-identification (re-id) systems requires a...
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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...
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11/16/2017
Learning Compositional Visual Concepts with Mutual Consistency
Compositionality of semantic concepts in image synthesis and analysis is...
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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...
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05/31/2016
