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03/23/2023
Controllable Inversion of Black-Box Face-Recognition Models via Diffusion
Face recognition models embed a face image into a low-dimensional identi...
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01/07/2022
Microdosing: Knowledge Distillation for GAN based Compression
Recently, significant progress has been made in learned image and video ...
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01/12/2021
DuctTake: Spatiotemporal Video Compositing
DuctTake is a system designed to enable practical compositing of multipl...
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09/09/2020
Blind Image Restoration with Flow Based Priors
Image restoration has seen great progress in the last years thanks to th...
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08/24/2020
Lossy Image Compression with Normalizing Flows
Deep learning based image compression has recently witnessed exciting pr...
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07/29/2020
Enriching Video Captions With Contextual Text
Understanding video content and generating caption with context is an im...
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06/02/2020
Shapley Value as Principled Metric for Structured Network Pruning
Structured pruning is a well-known technique to reduce the storage size ...
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05/02/2020
Lagrangian Neural Style Transfer for Fluids
Artistically controlling the shape, motion and appearance of fluid simul...
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07/24/2019
Data-Driven Physical Face Inversion
Facial animation is one of the most challenging problems in computer gra...
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05/17/2019
Transport-Based Neural Style Transfer for Smoke Simulations
Artistically controlling fluids has always been a challenging task. Opti...
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04/10/2019
Generating Animations from Screenplays
Automatically generating animation from natural language text finds appl...
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03/26/2019
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation
The problem of explaining the behavior of deep neural networks has gaine...
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03/18/2019
Neural Sequential Phrase Grounding (SeqGROUND)
We propose an end-to-end approach for phrase grounding in images. Unlike...
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12/10/2018
Disentangled Dynamic Representations from Unordered Data
We present a deep generative model that learns disentangled static and d...
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08/11/2018
Neural Importance Sampling
We propose to use deep neural networks for generating samples in Monte C...
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08/09/2018
Deep Video Color Propagation
Traditional approaches for color propagation in videos rely on some form...
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06/07/2018
Ten Years of Research on Intelligent Educational Games for Learning Spelling and Mathematics
In this article, we present our findings from ten years of research on i...
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06/06/2018
Deep Fluids: A Generative Network for Parameterized Fluid Simulations
This paper presents a novel generative model to synthesize fluid simulat...
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04/03/2018
PhaseNet for Video Frame Interpolation
Most approaches for video frame interpolation require accurate dense cor...
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02/19/2018
LSTM stack-based Neural Multi-sequence Alignment TeCHnique (NeuMATCH)
The alignment of heterogeneous sequential data (video to text) is an imp...
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11/16/2017
A unified view of gradient-based attribution methods for Deep Neural Networks
Understanding the flow of information in Deep Neural Networks is a chall...
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09/15/2017