activity
20122020
most citedDiversity in Faces

34 citations · 50 across the 7 of their papers we have counts for

collaborators

9 papers

eess.IV2020

Covering the News with (AI) Style

Michele Merler, Cicero Nogueira dos Santos, Mauro Martino +2

We introduce a multi-modal discriminative and generative frame-work capable of assisting humans in producing visual content re-lated to a given theme, starting from a collection of…

cs.CV2019★ 16 cited

A Broader Study of Cross-Domain Few-Shot Learning

Yunhui Guo, Noel C. Codella, Leonid Karlinsky +5

Recent progress on few-shot learning largely relies on annotated data for meta-learning: base classes sampled from the same domain as the novel classes. However, in many applicatio…

cs.CV2019★ 34 cited

Diversity in Faces

Michele Merler, Nalini Ratha, Rogerio S. Feris +1

Face recognition is a long standing challenge in the field of Artificial Intelligence (AI). The goal is to create systems that accurately detect, recognize, verify, and understand…

cs.CV2018

Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images

Noel C. F. Codella, Chung-Ching Lin, Allan Halpern +3

Automated dermoscopic image analysis has witnessed rapid growth in diagnostic performance. Yet adoption faces resistance, in part, because no evidence is provided to support decisi…

cs.CV2018

Segmentation of both Diseased and Healthy Skin from Clinical Photographs in a Primary Care Setting

Noel C. F. Codella, Daren Anderson, Tyler Philips +5

This work presents the first segmentation study of both diseased and healthy skin in standard camera photographs from a clinical environment. Challenges arise from varied lighting…

cs.CV2017

Automatic Curation of Golf Highlights using Multimodal Excitement Features

Michele Merler, Dhiraj Joshi, Quoc-Bao Nguyen +4

The production of sports highlight packages summarizing a game's most exciting moments is an essential task for broadcast media. Yet, it requires labor-intensive video editing. We…

cs.CV2016

Deep Learning Ensembles for Melanoma Recognition in Dermoscopy Images

Noel Codella, Quoc-Bao Nguyen, Sharath Pankanti +4

Melanoma is the deadliest form of skin cancer. While curable with early detection, only highly trained specialists are capable of accurately recognizing the disease. As expertise i…

cs.CV2015

Oracle performance for visual captioning

Li Yao, Nicolas Ballas, Kyunghyun Cho +2

The task of associating images and videos with a natural language description has attracted a great amount of attention recently. Rapid progress has been made in terms of both deve…

cs.SI2012

Tracking Large-Scale Video Remix in Real-World Events

Lexing Xie, Apostol Natsev, Xuming He +3

Social information networks, such as YouTube, contains traces of both explicit online interaction (such as "like", leaving a comment, or subscribing to video feed), and latent inte…