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03/20/2023
A closer look at the training dynamics of knowledge distillation
In this paper we revisit the efficacy of knowledge distillation as a fun...
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12/01/2022
Multi-Class Segmentation from Aerial Views using Recursive Noise Diffusion
Semantic segmentation from aerial views is a vital task for autonomous d...
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11/30/2022
ObjCAViT: Improving Monocular Depth Estimation Using Natural Language Models And Image-Object Cross-Attention
While monocular depth estimation (MDE) is an important problem in comput...
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06/01/2022
SAMPLE-HD: Simultaneous Action and Motion Planning Learning Environment
Humans exhibit incredibly high levels of multi-modal understanding - com...
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04/21/2022
Monocular Depth Estimation Using Cues Inspired by Biological Vision Systems
Monocular depth estimation (MDE) aims to transform an RGB image of a sce...
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12/23/2021
NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning
In the light of recent analyses on privacy-concerning scene revelation f...
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12/09/2021
ScaleNet: A Shallow Architecture for Scale Estimation
In this paper, we address the problem of estimating scale factors betwee...
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12/01/2021
Information Theoretic Representation Distillation
Despite the empirical success of knowledge distillation, there still lac...
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10/25/2021
Network compression and faster inference using spatial basis filters
We present an efficient alternative to the convolutional layer through u...
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10/06/2021
Grasp-Oriented Fine-grained Cloth Segmentation without Real Supervision
Automatically detecting graspable regions from a single depth image is a...
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08/16/2021
Reassessing the Limitations of CNN Methods for Camera Pose Regression
In this paper, we address the problem of camera pose estimation in outdo...
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05/24/2021
AirNet: Neural Network Transmission over the Air
State-of-the-art performance for many emerging edge applications is achi...
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09/03/2020
DESC: Domain Adaptation for Depth Estimation via Semantic Consistency
Accurate real depth annotations are difficult to acquire, needing the us...
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08/16/2020
Cascaded channel pruning using hierarchical self-distillation
In this paper, we propose an approach for filter-level pruning with hier...
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08/03/2020
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data
Depth completion aims to predict a dense depth map from a sparse depth i...
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07/21/2020
Wireless Image Retrieval at the Edge
We study the image retrieval problem at the wireless edge, where an edge...
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06/17/2020
HyNet: Local Descriptor with Hybrid Similarity Measure and Triplet Loss
Recent works show that local descriptor learning benefits from the use o...
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05/27/2020
D2D: Keypoint Extraction with Describe to Detect Approach
In this paper, we present a novel approach that exploits the information...
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05/12/2020
HDD-Net: Hybrid Detector Descriptor with Mutual Interactive Learning
Local feature extraction remains an active research area due to the adva...
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04/06/2020
SHOP-VRB: A Visual Reasoning Benchmark for Object Perception
In this paper we present an approach and a benchmark for visual reasonin...
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03/09/2020
Domain Adversarial Training for Infrared-colour Person Re-Identification
Person re-identification (re-ID) is a very active area of research in co...
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03/04/2020
Deep Joint Transmission-Recognition for Power-Constrained IoT Devices
We propose a joint transmission-recognition scheme for efficient inferen...
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01/24/2020
SOLAR: Second-Order Loss and Attention for Image Retrieval
Recent works in deep-learning have shown that utilising second-order inf...
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01/09/2020
Compression of convolutional neural networks for high performance imagematching tasks on mobile devices
Deep neural networks have demonstrated state-of-the-art performance for ...
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11/22/2019
Domain Adaptation for Object Detection via Style Consistency
We propose a domain adaptation approach for object detection. We introdu...
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10/28/2019
Deep Joint Source-Channel Coding for Wireless Image Retrieval
Motivated by surveillance applications with wireless cameras or drones, ...
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04/01/2019
Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters
We introduce a novel approach for keypoint detection task that combines ...
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03/30/2019
Person Re-identification with Bias-controlled Adversarial Training
Inspired by the effectiveness of adversarial training in the area of Gen...
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07/24/2018
Partial Person Re-identification with Alignment and Hallucination
Partial person re-identification involves matching pedestrian frames whe...
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05/16/2018
Deep Segmentation and Registration in X-Ray Angiography Video
In interventional radiology, short video sequences of vein structure in ...
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10/03/2017
Person Re-Identification with Vision and Language
In this paper we propose a new approach to person re-identification usin...
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03/23/2016
BreakingNews: Article Annotation by Image and Text Processing
Building upon recent Deep Neural Network architectures, current approach...
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01/19/2016
