activity
20192024
most citedDiscriminability Distillation in Group Representation Learning

4 citations · 8 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV2024

Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models

Xiaoshi Wu, Yiming Hao, Manyuan Zhang +5

Optimizing a text-to-image diffusion model with a given reward function is an important but underexplored research area. In this study, we propose Deep Reward Tuning (DRTune), an a…

cs.CV2022

Towards Robust Face Recognition with Comprehensive Search

Manyuan Zhang, Guanglu Song, Yu Liu +1

Data cleaning, architecture, and loss function design are important factors contributing to high-performance face recognition. Previously, the research community tries to improve t…

cs.CV20204 cited

Discriminability Distillation in Group Representation Learning

Manyuan Zhang, Guanglu Song, Hang Zhou +1

Learning group representation is a commonly concerned issue in tasks where the basic unit is a group, set, or sequence. Previously, the research community tries to tackle it by agg…

cs.CV2020

Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020

Haisheng Su, Jinyuan Feng, Hao Shao +6

This technical report presents an overview of our solution used in the submission to ActivityNet Challenge 2020 Task 1 (\textbf{temporal action localization/detection}). Temporal a…

cs.CV20204 cited

1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020

Siyu Chen, Junting Pan, Guanglu Song +6

This technical report introduces our winning solution to the spatio-temporal action localization track, AVA-Kinetics Crossover, in ActivityNet Challenge 2020. Our entry is mainly b…

cs.CV2020

Top-1 Solution of Multi-Moments in Time Challenge 2019

Manyuan Zhang, Hao Shao, Guanglu Song +2

In this technical report, we briefly introduce the solutions of our team 'Efficient' for the Multi-Moments in Time challenge in ICCV 2019. We first conduct several experiments with…