research
∙
09/18/2023
Grasp-Anything: Large-scale Grasp Dataset from Foundation Models
Foundation models such as ChatGPT have made significant strides in robot...
share
research
∙
07/16/2023
Enforcing Topological Interaction between Implicit Surfaces via Uniform Sampling
Objects interact with each other in various ways, including containment,...
research
∙
07/15/2023
Learning from Pseudo-labeled Segmentation for Multi-Class Object Counting
Class-agnostic counting (CAC) has numerous potential applications across...
research
∙
07/09/2023
Hierarchical Autoencoder-based Lossy Compression for Large-scale High-resolution Scientific Data
Lossy compression has become an important technique to reduce data size ...
research
∙
04/11/2023
Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection
Two-stage object detectors generate object proposals and classify them t...
research
∙
03/03/2023
Zero-shot Object Counting
Class-agnostic object counting aims to count object instances of an arbi...
research
∙
10/07/2022
EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification
The timing of cell divisions in early embryos during the In-Vitro Fertil...
research
∙
05/16/2022
Referring Expressions with Rational Speech Act Framework: A Probabilistic Approach
This paper focuses on a referring expression generation (REG) task in wh...
research
∙
05/05/2022
Generating Representative Samples for Few-Shot Classification
Few-shot learning (FSL) aims to learn new categories with a few visual s...
research
∙
02/25/2022
AutoFR: Automated Filter Rule Generation for Adblocking
Adblocking relies on filter lists, which are manually curated and mainta...
research
∙
01/05/2022
Corrupting Data to Remove Deceptive Perturbation: Using Preprocessing Method to Improve System Robustness
Although deep neural networks have achieved great performance on classif...
research
∙
07/29/2021
Temporal Feature Warping for Video Shadow Detection
While single image shadow detection has been improving rapidly in recent...
research
∙
06/09/2021
Auditing Network Traffic and Privacy Policies in Oculus VR
Virtual reality (VR) is an emerging technology that enables new applicat...
research
∙
12/23/2020
Physics-based Shadow Image Decomposition for Shadow Removal
We propose a novel deep learning method for shadow removal. Inspired by ...
research
∙
08/01/2020
From Shadow Segmentation to Shadow Removal
The requirement for paired shadow and shadow-free images limits the size...
research
∙
11/08/2019
The TV is Smart and Full of Trackers: Towards Understanding the Smart TV Advertising and Tracking Ecosystem
Motivated by the growing popularity of smart TVs, we present a large-sca...
research
∙
08/23/2019
Shadow Removal via Shadow Image Decomposition
We propose a novel deep learning method for shadow removal. Inspired by ...
research
∙
05/08/2019
Weakly Labeling the Antarctic: The Penguin Colony Case
Antarctic penguins are important ecological indicators -- especially in ...
research
∙
03/18/2019
Efficient and Extensible Policy Mining for Relationship-Based Access Control
Relationship-based access control (ReBAC) is a flexible and expressive f...
research
∙
07/26/2018
Iterative Crowd Counting
In this work, we tackle the problem of crowd counting in images. We pres...
research
∙
03/03/2018
AntShield: On-Device Detection of Personal Information Exposure
Mobile devices have access to personal, potentially sensitive data, and ...
research
∙
12/04/2017
A+D-Net: Shadow Detection with Adversarial Shadow Attenuation
Single image shadow detection is a very challenging problem because of t...
research
∙
03/31/2017
Geodesic Distance Histogram Feature for Video Segmentation
This paper proposes a geodesic-distance-based feature that encodes globa...
research
∙
12/10/2016