102 citations · 107 across the 5 of their papers we have counts for
5 papers
CLIP-Art: Contrastive Pre-training for Fine-Grained Art Classification
Marcos V. Conde, Kerem Turgutlu
Existing computer vision research in artwork struggles with artwork's fine-grained attributes recognition and lack of curated annotated datasets due to their costly creation. To th…
Conformer and Blind Noisy Students for Improved Image Quality Assessment
Marcos V. Conde, Maxime Burchi, Radu Timofte
Generative models for image restoration, enhancement, and generation have significantly improved the quality of the generated images. Surprisingly, these models produce more pleasa…
Weakly-Supervised Classification and Detection of Bird Sounds in the Wild. A BirdCLEF 2021 Solution
Marcos V. Conde, Kumar Shubham, Prateek Agnihotri +2
It is easier to hear birds than see them, however, they still play an essential role in nature and they are excellent indicators of deteriorating environmental quality and pollutio…
Exploring Vision Transformers for Fine-grained Classification
Marcos V. Conde, Kerem Turgutlu
Existing computer vision research in categorization struggles with fine-grained attributes recognition due to the inherently high intra-class variances and low inter-class variance…
Multi-attention Networks for Temporal Localization of Video-level Labels
Lijun Zhang, Srinath Nizampatnam, Ahana Gangopadhyay +1
Temporal localization remains an important challenge in video understanding. In this work, we present our solution to the 3rd YouTube-8M Video Understanding Challenge organized by…