Multimodal Noisy Segmentation based fragmented burn scars identification in Amazon Rainforest

no code implementations • 10 Sep 2020 • Satyam Mohla, Sidharth Mohla, Anupam Guha, Biplab Banerjee

However, the task to segment burn marks is difficult because of its indistinguishably with similar looking land patterns, severe fragmented nature of burn marks and partially labelled noisy datasets.

Management

The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives

2 code implementations • CVPR 2017 • Mohit Iyyer, Varun Manjunatha, Anupam Guha, Yogarshi Vyas, Jordan Boyd-Graber, Hal Daumé III, Larry Davis

While computers can now describe what is explicitly depicted in natural images, in this paper we examine whether they can understand the closure-driven narratives conveyed by stylized artwork and dialogue in comic book panels.

``A Distorted Skull Lies in the Bottom Center...'' Identifying Paintings from Text Descriptions

no code implementations • WS 2016 • Anupam Guha, Mohit Iyyer, Jordan Boyd-Graber

Question Answering Visual Question Answering (VQA)

Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships

no code implementations • NAACL 2016 • Mohit Iyyer, Anupam Guha, Snigdha Chaturvedi, Jordan Boyd-Graber, Hal Daum{\'e} III

Dictionary Learning

Removing the Training Wheels: A Coreference Dataset that Entertains Humans and Challenges Computers

no code implementations • HLT 2015 • Jordan Boyd-Graber, Mohit Iyyer, Anupam Guha, Danny Bouman

Active Learning coreference-resolution +3