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05/25/2023
Making Vision Transformers Truly Shift-Equivariant
For computer vision tasks, Vision Transformers (ViTs) have become one of...
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03/09/2023
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation
Few-shot instance segmentation extends the few-shot learning paradigm to...
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11/20/2022
FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Co-Training
We introduce FedDCT, a novel distributed learning paradigm that enables ...
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11/13/2022
Enhancing Few-shot Image Classification with Cosine Transformer
This paper addresses the few-shot image classification problem. One nota...
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10/14/2022
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks
We propose learnable polyphase sampling (LPS), a pair of learnable down/...
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07/12/2022
Efficient Human Vision Inspired Action Recognition using Adaptive Spatiotemporal Sampling
Adaptive sampling that exploits the spatiotemporal redundancy in videos ...
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05/15/2022
Towards a Comprehensive Solution for a Vision-based Digitized Neurological Examination
The ability to use digitally recorded and quantified neurological exam i...
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11/27/2021
Multi-modality fusion using canonical correlation analysis methods: Application in breast cancer survival prediction from histology and genomics
The availability of multi-modality datasets provides a unique opportunit...
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06/13/2021
Inverting Adversarially Robust Networks for Image Synthesis
Recent research in adversarially robust classifiers suggests their repre...
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03/09/2021
Multimodal fusion using sparse CCA for breast cancer survival prediction
Effective understanding of a disease such as cancer requires fusing mult...
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02/05/2020
Multimodal fusion of imaging and genomics for lung cancer recurrence prediction
Lung cancer has a high rate of recurrence in early-stage patients. Predi...
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11/09/2019
Dense 3D Reconstruction for Visual Tunnel Inspection using Unmanned Aerial Vehicle
Advances in Unmanned Aerial Vehicle (UAV) opens venues for application s...
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11/21/2018
Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection
Fine-grained action detection is an important task with numerous applica...
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06/27/2018
Feature-less Stitching of Cylindrical Tunnel
Traditional image stitching algorithms use transforms such as homography...
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05/31/2018
Rotation Equivariance and Invariance in Convolutional Neural Networks
Performance of neural networks can be significantly improved by encoding...
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03/29/2018
Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts
Textual grounding is an important but challenging task for human-compute...
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03/29/2018
Unsupervised Textual Grounding: Linking Words to Image Concepts
Textual grounding, i.e., linking words to objects in images, is a challe...
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02/24/2018
Correlating Cellular Features with Gene Expression using CCA
To understand the biology of cancer, joint analysis of multiple data mod...
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12/19/2017
Tracking objects using 3D object proposals
3D object proposals, quickly detected regions in a 3D scene that likely ...
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09/08/2017
Locating 3D Object Proposals: A Depth-Based Online Approach
2D object proposals, quickly detected regions in an image that likely co...
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09/08/2017
Calibration of depth cameras using denoised depth images
Depth sensing devices have created various new applications in scientifi...
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09/15/2016
Matrix Product State for Higher-Order Tensor Compression and Classification
This paper introduces matrix product state (MPS) decomposition as a new ...
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07/26/2016
Semantic Image Inpainting with Deep Generative Models
Semantic image inpainting is a challenging task where large missing regi...
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07/14/2016
Concatenated image completion via tensor augmentation and completion
This paper proposes a novel framework called concatenated image completi...
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04/27/2016
DASC: Robust Dense Descriptor for Multi-modal and Multi-spectral Correspondence Estimation
Establishing dense correspondences between multiple images is a fundamen...
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04/20/2015
Weakly Supervised Fine-Grained Image Categorization
In this paper, we categorize fine-grained images without using any objec...
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03/02/2015