8 citations · 12 across the 11 of their papers we have counts for
13 papers · 1 filter
Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responses
Phoebe Chua, Dimos Makris, Dorien Herremans +2
Although media content is increasingly produced, distributed, and consumed in multiple combinations of modalities, how individual modalities contribute to the perceived emotion of…
FRIDA -- Generative Feature Replay for Incremental Domain Adaptation
Sayan Rakshit, Anwesh Mohanty, Ruchika Chavhan +3
We tackle the novel problem of incremental unsupervised domain adaptation (IDA) in this paper. We assume that a labeled source domain and different unlabeled target domains are inc…
The Algonauts Project 2021 Challenge: How the Human Brain Makes Sense of a World in Motion
R. M. Cichy, K. Dwivedi, B. Lahner +8
The sciences of natural and artificial intelligence are fundamentally connected. Brain-inspired human-engineered AI are now the standard for predicting human brain responses during…
Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning
Kshitij Dwivedi, Jiahui Huang, Radoslaw Martin Cichy +1
In this paper, we tackle an open research question in transfer learning, which is selecting a model initialization to achieve high performance on a new task, given several pre-trai…
Using Human Psychophysics to Evaluate Generalization in Scene Text Recognition Models
Sahar Siddiqui, Elena Sizikova, Gemma Roig +2
Scene text recognition models have advanced greatly in recent years. Inspired by human reading we characterize two important scene text recognition models by measuring their domain…
LCD: Learned Cross-Domain Descriptors for 2D-3D Matching
Quang-Hieu Pham, Mikaela Angelina Uy, Binh-Son Hua +3
In this work, we present a novel method to learn a local cross-domain descriptor for 2D image and 3D point cloud matching. Our proposed method is a dual auto-encoder neural network…