activity
20192024
most citedGemini: A Family of Highly Capable Multimodal Models

843 citations · 1.8k across the 7 of their papers we have counts for

collaborators

6 papers

cs.LG2024★ 3 cited

Bridging the Gap: A Decade Review of Time-Series Clustering Methods

John Paparrizos, Fan Yang, Haojun Li

Time series, as one of the most fundamental representations of sequential data, has been extensively studied across diverse disciplines, including computer science, biology, geolog…

cs.CL2023★ 843 cited

Gemini: A Family of Highly Capable Multimodal Models

Gemini Team, Rohan Anil, Sebastian Borgeaud +1340

This report introduces a new family of multimodal models, Gemini, that exhibit remarkable capabilities across image, audio, video, and text understanding. The Gemini family consist…

cs.CV2022★ 3 cited

A Multi-Person Video Dataset Annotation Method of Spatio-Temporally Actions

Fan Yang

Spatio-temporal action detection is an important and challenging problem in video understanding. However, the application of the existing large-scale spatio-temporal action dataset…

cs.CV2021★ 18 cited

Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions

Yang Wu, Dingheng Wang, Xiaotong Lu +4

Visual recognition is currently one of the most important and active research areas in computer vision, pattern recognition, and even the general field of artificial intelligence.…

cs.CV2019

A Hierarchical Mixture Density Network

Fan Yang, Jaymar Soriano, Takatomi Kubo +1

The relationship among three correlated variables could be very sophisticated, as a result, we may not be able to find their hidden causality and model their relationship explicitl…

cs.CV2019★ 56 cited

Data Augmentation for Object Detection via Progressive and Selective Instance-Switching

Hao Wang, Qilong Wang, Fan Yang +2

Collection of massive well-annotated samples is effective in improving object detection performance but is extremely laborious and costly. Instead of data collection and annotation…