14 citations · 14 across the 2 of their papers we have counts for
6 papers
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks
Ruixiang Tang, Gord Lueck, Rodolfo Quispe +3
Large language models have revolutionized the field of NLP by achieving state-of-the-art performance on various tasks. However, there is a concern that these models may disclose in…
AttributeNet: Attribute Enhanced Vehicle Re-Identification
Rodolfo Quispe, Cuiling Lan, Wenjun Zeng +1
Vehicle Re-Identification (V-ReID) is a critical task that associates the same vehicle across images from different camera viewpoints. Many works explore attribute clues to enhance…
Top-DB-Net: Top DropBlock for Activation Enhancement in Person Re-Identification
Rodolfo Quispe, Helio Pedrini
Person Re-Identification is a challenging task that aims to retrieve all instances of a query image across a system of non-overlapping cameras. Due to the various extreme changes o…
MIMICS: A Large-Scale Data Collection for Search Clarification
Hamed Zamani, Gord Lueck, Everest Chen +3
Search clarification has recently attracted much attention due to its applications in search engines. It has also been recognized as a major component in conversational information…
Multi-Stream Networks and Ground-Truth Generation for Crowd Counting
Rodolfo Quispe, Darwin Ttito, Adín Ramírez Rivera +1
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. In…
Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models
Rodolfo Quispe, Helio Pedrini
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 fro…