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09/21/2023
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning
Self-supervised learning (SSL) has gained remarkable success, for which ...
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04/05/2023
DPPD: Deformable Polar Polygon Object Detection
Regular object detection methods output rectangle bounding boxes, which ...
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03/23/2023
NVAutoNet: Fast and Accurate 360^∘ 3D Perception For Self Driving
Robust real-time perception of 3D world is essential to the autonomous v...
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08/11/2022
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning
Exponential Moving Average (EMA or momentum) is widely used in modern se...
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03/15/2021
Robust MAML: Prioritization task buffer with adaptive learning process for model-agnostic meta-learning
Model agnostic meta-learning (MAML) is a popular state-of-the-art meta-l...
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01/07/2021
Ensemble approximate control variate estimators: Applications to multi-fidelity importance sampling
The recent growth in multi-fidelity uncertainty quantification has given...
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07/04/2020
Modality Shifting Attention Network for Multi-modal Video Question Answering
This paper considers a network referred to as Modality Shifting Attentio...
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06/04/2018
Bayesian Semantic Instance Segmentation in Open Set World
This paper addresses the instance segmentation task in the open-set cond...
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04/24/2018
Towards Semantic SLAM: Points, Planes and Objects
Simultaneous Localization And Mapping (SLAM) is a fundamental problem in...
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02/28/2018
Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image
Detecting objects and their 6D poses from only RGB images is an importan...
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02/21/2018
Binary Constrained Deep Hashing Network for Image Retrieval without Human Intervention
Learning compact binary codes for image retrieval problem using deep neu...
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10/29/2017
A Bayesian Data Augmentation Approach for Learning Deep Models
Data augmentation is an essential part of the training process applied t...
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09/21/2017
SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes
This paper presents SceneCut, a novel approach to jointly discover previ...
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09/17/2016
