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Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning
Whole slide images (WSIs) have large resolutions and usually lack locali...
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ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles
Advanced video analytic systems, including scene classification and obje...
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Comprehensive Image Captioning via Scene Graph Decomposition
We address the challenging problem of image captioning by revisiting the...
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Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation
Weakly supervised phrase grounding aims at learning region-phrase corres...
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In the Eye of the Beholder: Gaze and Actions in First Person Video
We address the task of jointly determining what a person is doing and wh...
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Interpretable and Accurate Fine-grained Recognition via Region Grouping
We present an interpretable deep model for fine-grained visual recogniti...
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Obscure: Information-Theoretically Secure, Oblivious, and Verifiable Aggregation Queries on Secret-Shared Outsourced Data – Full Version
Despite exciting progress on cryptography, secure and efficient query pr...
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Gradients as Features for Deep Representation Learning
We address the challenging problem of deep representation learning–the e...
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Forecasting Human Object Interaction: Joint Prediction of Motor Attention and Egocentric Activity
We address the challenging task of anticipating human-object interaction...
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Semi Supervised Phrase Localization in a Bidirectional Caption-Image Retrieval Framework
We introduce a novel deep neural network architecture that links visual ...
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Paying More Attention to Motion: Attention Distillation for Learning Video Representations
We address the challenging problem of learning motion representations us...
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Learning to Predict the Cosmological Structure Formation
Matter evolved under influence of gravity from minuscule density fluctua...
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Learning to Grasp Without Seeing
Can a robot grasp an unknown object without seeing it? In this paper, we...
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Privacy-Preserving Secret Shared Computations using MapReduce
Data outsourcing allows data owners to keep their data at untrusted clou...
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Deep Crisp Boundaries: From Boundaries to Higher-level Tasks
Edge detection has made significant progress with the help of deep Convo...
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Learning Two-Branch Neural Networks for Image-Text Matching Tasks
This paper investigates two-branch neural networks for image-text matchi...
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Learning Deep Structure-Preserving Image-Text Embeddings
This paper proposes a method for learning joint embeddings of images and...
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Unsupervised Learning of Edges
Data-driven approaches for edge detection have proven effective and achi...
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The Secrets of Salient Object Segmentation
In this paper we provide an extensive evaluation of fixation prediction ...
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