Search Results for author:
Found 6 papers, 4 papers with code
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks
Large language models have revolutionized the field of NLP by achieving state-of-the-art performance on various tasks.
AttributeNet: Attribute Enhanced Vehicle Re-Identification
Vehicle Re-Identification (V-ReID) is a critical task that associates the same vehicle across images from different camera viewpoints.
Ranked #1 on
Vehicle Re-Identification
on VeRi-Wild Large
Top-DB-Net: Top DropBlock for Activation Enhancement in Person Re-Identification
Person Re-Identification is a challenging task that aims to retrieve all instances of a query image across a system of non-overlapping cameras.
Ranked #1 on
Person Re-Identification
on CUHK03 detected
MIMICS: A Large-Scale Data Collection for Search Clarification
In this paper, we introduce MIMICS, a collection of search clarification datasets for real web search queries sampled from the Bing query logs.
Multi-Stream Networks and Ground-Truth Generation for Crowd Counting
Crowd scene analysis has received a lot of attention recently due to the wide variety of applications, for instance, forensic science, urban planning, surveillance and security.
Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models
Given a video or an image of a person acquired from a camera, person re-identification is the process of retrieving all instances of the same person from videos or images taken from a different camera with non-overlapping view.
Ranked #25 on
Person Re-Identification
on DukeMTMC-reID
