no code implementations • 10 Feb 2024 • Junwei Ma, Valentin Thomas, Guangwei Yu, Anthony Caterini
Foundation models have revolutionized tasks in computer vision and natural language processing.
1 code implementation • 15 Dec 2023 • Noël Vouitsis, Zhaoyan Liu, Satya Krishna Gorti, Valentin Villecroze, Jesse C. Cresswell, Guangwei Yu, Gabriel Loaiza-Ganem, Maksims Volkovs
The goal of multimodal alignment is to learn a single latent space that is shared between multimodal inputs.
no code implementations • 29 Mar 2022 • Guangwei Yu, Gang Li, Xingtong Si, Zhuoyuan Song
Ball mixing is a ball bearing production quality problem that is difficult to identify using traditional frequency domain analysis methods since it requires high frequency resolutions of the measurement signals and results in a long analyzing time.
1 code implementation • CVPR 2022 • Satya Krishna Gorti, Noel Vouitsis, Junwei Ma, Keyvan Golestan, Maksims Volkovs, Animesh Garg, Guangwei Yu
Instead, texts often capture sub-regions of entire videos and are most semantically similar to certain frames within videos.
Ranked #17 on Video Retrieval on LSMDC (using extra training data)
1 code implementation • CVPR 2021 • Junwei Ma, Satya Krishna Gorti, Maksims Volkovs, Guangwei Yu
A common approach is to train a frame-level classifier where frames with the highest class probability are selected to make a video-level prediction.
Ranked #4 on Weakly Supervised Action Localization on FineAction
1 code implementation • ICCV 2021 • Yichao Lu, Himanshu Rai, Jason Chang, Boris Knyazev, Guangwei Yu, Shashank Shekhar, Graham W. Taylor, Maksims Volkovs
In this task, the model needs to detect objects and predict visual relationships between them.
no code implementations • 12 Dec 2019 • Yichao Lu, Cheng Chang, Himanshu Rai, Guangwei Yu, Maksims Volkovs
We present our winning solution to the Open Images 2019 Visual Relationship challenge.
1 code implementation • NeurIPS 2019 • Chundi Liu, Guangwei Yu, Maksims Volkovs, Cheng Chang, Himanshu Rai, Junwei Ma, Satya Krishna Gorti
Despite recent progress in computer vision, image retrieval remains a challenging open problem.
no code implementations • 19 Nov 2019 • Junwei Ma, Satya Krishna Gorti, Maksims Volkovs, Ilya Stanevich, Guangwei Yu
We present a novel Cross-Class Relevance Learning approach for the task of temporal concept localization.
no code implementations • 12 Jun 2019 • Cheng Chang, Himanshu Rai, Satya Krishna Gorti, Junwei Ma, Chundi Liu, Guangwei Yu, Maksims Volkovs
We present our solution to Landmark Image Retrieval Challenge 2019.
2 code implementations • NeurIPS 2017 • Maksims Volkovs, Guangwei Yu, Tomi Poutanen
Latent models have become the default choice for recommender systems due to their performance and scalability.