Deepali is a Research Engineer at Adobe Research. She finished her Ph.D. in computer science at the University of Washington, and her thesis focused on developing learning-based techniques for facial animation.

She is interested in applying machine learning techniques to create new creative tools and interactive user experiences by leveraging multimodal information (text, audio, visual). Her past research and engineering have been recognized by an Emmy Award for Technology and Engineering (2020), two Adobe MAX Sneaks Demos (2020, 2021), and an Adobe Research Fellowship (2018). She is also on the executive committee for ACM WiGRAPH and organizer of Rising Stars Workshop at SIGGRAPH.

She is always looking for interns and collaborators to work on exciting research projects. Please feel free to reach out to learn more.

Contact: aneja [at] adobe [dot] com

Tech Transfers

Publications

Deep Sketch Vectorization via Implicit Surface Extraction

Yan, C., Li, Y., Aneja, D., Fisher, M., Simo-Serra, E., Gingold, Y. (Jul. 29, 2024)

SIGGRAPH 2024

How do video content creation goals impact which concepts people prioritize for generating B-roll imagery?

Huey, H., Leake, M., Aneja, D., Fisher, M., Fan, J. (Jun. 23, 2024)

ACM Conference on Creativity & Cognition

Elastica: Adaptive Live Augmented Presentations with Elastic Mappings Across Modalities

Cao, Y., Habib, R., Wei, L., Aneja, D., Xia, H. (May. 11, 2024)

CHI 2024

Audio-Driven Neural Gesture Reenactment With Video Motion Graphs

Zhou, Y., Yang, J., Li, D., Saito, J., Aneja, D., Kalogerakis, E. (Jun. 24, 2022)

IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)

APES: Articulated Part Extraction from Sprite Sheets

Xu, Z., Fisher, M., Zhou, Y., Aneja, D., Dudhat, R., Yi, L., Kalogerakis, E. (Jun. 20, 2022)

IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)

Understanding Conversational and Expressive Style in a Multimodal Embodied Conversational Agent

Aneja, D., Hoegen, R., McDuff, D., Czerwinski, M. (May. 12, 2021)

ACM Conference on Human Factors in Computing Systems (CHI)

Conversational Error Analysis in Human-Agent Interaction

Aneja, D., McDuff, D., Czerwinski, M. (Oct. 20, 2020)

ACM International Conference on Intelligent Virtual Agents (IVA)

Real-Time Lip Sync for Live 2D Animation

Aneja, D., Li, W. (Oct. 19, 2019)

arXiv

A High Fidelity Open Embodied Avatar with LipSyncing and Expression Capabilities

Aneja, D., McDuff, D., Shah, S. (Oct. 14, 2019)

ACM International Conference on Multimodal Interaction (ICMI)

A Facial Affect Analysis System for Autism Spectrum Disorder

Li, B., Mehta, S., Aneja, D., Foster, C., Ventola, P., Shic, F., Shapiro, L. (Sep. 23, 2019)

IEEE International Conference on Image Processing (ICIP)

An End-to-End Conversational Style Matching Agent

Hoegen, R., Aneja, D., McDuff, D., Czerwinski, M. (Jul. 4, 2019)

Best Paper Nominee

ACM International Conference on Intelligent Virtual Agents (IVA)

Learning to Generate 3D Stylized Character Expressions from Humans

Aneja, D., Chaudhuri, B., Colburn, A., Faigin, G., Shapiro, L., Mones, B., Aneja, A. (Mar. 12, 2018)

IEEE Winter Conference on Applications of Computer Vision (WACV)

Modeling Stylized Character Expressions via Deep Learning

Aneja, D., Colburn, A., Faigin, G., Shapiro, L., Mones, B. (Nov. 21, 2016)

Asian Conference on Computer Vision (ACCV)

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