activity
20142023
most citedMultimodal Machine Learning: A Survey and Taxonomy

153 citations · 257 across the 7 of their papers we have counts for

collaborators

8 papers

cs.GR2023★ 99 cited

A Comprehensive Review of Data-Driven Co-Speech Gesture Generation

Simbarashe Nyatsanga, Taras Kucherenko, Chaitanya Ahuja +2

Gestures that accompany speech are an essential part of natural and efficient embodied human communication. The automatic generation of such co-speech gestures is a long-standing p…

cs.AI2022★ 3 cited

Multimodal Lecture Presentations Dataset: Understanding Multimodality in Educational Slides

Dong Won Lee, Chaitanya Ahuja, Paul Pu Liang +2

Lecture slide presentations, a sequence of pages that contain text and figures accompanied by speech, are constructed and presented carefully in order to optimally transfer knowled…

cs.CV2020★ 1 cited

Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach

Chaitanya Ahuja, Dong Won Lee, Yukiko I. Nakano +1

How can we teach robots or virtual assistants to gesture naturally? Can we go further and adapt the gesturing style to follow a specific speaker? Gestures that are naturally timed…

cs.CV2019

To React or not to React: End-to-End Visual Pose Forecasting for Personalized Avatar during Dyadic Conversations

Chaitanya Ahuja, Shugao Ma, Louis-Philippe Morency +1

Non verbal behaviours such as gestures, facial expressions, body posture, and para-linguistic cues have been shown to complement or clarify verbal messages. Hence to improve telepr…

cs.CV2019

Language2Pose: Natural Language Grounded Pose Forecasting

Chaitanya Ahuja, Louis-Philippe Morency

Generating animations from natural language sentences finds its applications in a a number of domains such as movie script visualization, virtual human animation and, robot motion…

cs.LG2017★ 1 cited

Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling

Chaitanya Ahuja, Louis-Philippe Morency

Recurrent neural networks have shown remarkable success in modeling sequences. However low resource situations still adversely affect the generalizability of these models. We intro…

cs.LG2017★ 153 cited

Multimodal Machine Learning: A Survey and Taxonomy

Tadas Baltrušaitis, Chaitanya Ahuja, Louis-Philippe Morency

Our experience of the world is multimodal - we see objects, hear sounds, feel texture, smell odors, and taste flavors. Modality refers to the way in which something happens or is e…

cs.SD2014

A Complex Matrix Factorization approach to Joint Modeling of Magnitude and Phase for Source Separation

Chaitanya Ahuja, Karan Nathwani, Rajesh M. Hegde

Conventional NMF methods for source separation factorize the matrix of spectral magnitudes. Spectral Phase is not included in the decomposition process of these methods. However, p…