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09/07/2023
Tracking Anything with Decoupled Video Segmentation
Training data for video segmentation are expensive to annotate. This imp...
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12/08/2022
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation
In this work, we present a novel framework built to simplify 3D asset ge...
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10/12/2022
On the Importance of Gradient Norm in PAC-Bayesian Bounds
Generalization bounds which assess the difference between the true risk ...
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04/14/2022
Joint Forecasting of Panoptic Segmentations with Difference Attention
Forecasting of a representation is important for safe and effective auto...
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12/20/2021
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding
Recently, there has been an increasing interest in building question ans...
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10/27/2021
Perceptual Score: What Data Modalities Does Your Model Perceive?
Machine learning advances in the last decade have relied significantly o...
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10/24/2021
CoVA: Context-aware Visual Attention for Webpage Information Extraction
Webpage information extraction (WIE) is an important step to create know...
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10/12/2021
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents
Communication between embodied AI agents has received increasing attenti...
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08/26/2021
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation
It is fundamental for personal robots to reliably navigate to a specifie...
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08/04/2021
Towards Coherent Visual Storytelling with Ordered Image Attention
We address the problem of visual storytelling, i.e., generating a story ...
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04/14/2021
GridToPix: Training Embodied Agents with Minimal Supervision
While deep reinforcement learning (RL) promises freedom from hand-labele...
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04/08/2021
Panoptic Segmentation Forecasting
Our goal is to forecast the near future given a set of recent observatio...
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10/21/2020
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies
Many recent datasets contain a variety of different data modalities, for...
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10/06/2020
NCP-VAE: Variational Autoencoders with Noise Contrastive Priors
Variational autoencoders (VAEs) are one of the powerful likelihood-based...
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07/23/2020
Bridging the Imitation Gap by Adaptive Insubordination
Why do agents often obtain better reinforcement learning policies when i...
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07/09/2020
A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks
Autonomous agents must learn to collaborate. It is not scalable to devel...
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04/21/2020
The 1st Agriculture-Vision Challenge: Methods and Results
The first Agriculture-Vision Challenge aims to encourage research in dev...
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02/21/2020
Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning
In many vision-based reinforcement learning (RL) problems, the agent con...
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01/05/2020
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis
The success of deep learning in visual recognition tasks has driven adva...
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12/14/2019
Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics
Using detailed simulations of calorimeter showers as training data, we i...
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10/31/2019
Graph Structured Prediction Energy Networks
For joint inference over multiple variables, a variety of structured pre...
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08/22/2019
Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning
Diverse and accurate vision+language modeling is an important goal to re...
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08/22/2019
ViCo: Word Embeddings from Visual Co-occurrences
We propose to learn word embeddings from visual co-occurrences. Two word...
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07/22/2019
Maya: Falsifying Power Sidechannels with Dynamic Control
The security of computers is at risk because of information leaking thro...
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04/11/2019
Factor Graph Attention
Dialog is an effective way to exchange information, but subtle details a...
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04/11/2019
Two Body Problem: Collaborative Visual Task Completion
Collaboration is a necessary skill to perform tasks that are beyond one ...
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04/11/2019
Max-Sliced Wasserstein Distance and its use for GANs
Generative adversarial nets (GANs) and variational auto-encoders have si...
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04/11/2019
A Simple Baseline for Audio-Visual Scene-Aware Dialog
The recently proposed audio-visual scene-aware dialog task paves the way...
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11/14/2018
No-Frills Human-Object Interaction Detection: Factorization, Appearance and Layout Encodings, and Training Techniques
We show that with an appropriate factorization, and encodings of layout ...
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11/08/2018
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training
Distributed training of deep nets is an important technique to address s...
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11/08/2018
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training
Data parallelism can boost the training speed of convolutional neural ne...
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11/01/2018
Deep Structured Prediction with Nonlinear Output Transformations
Deep structured models are widely used for tasks like semantic segmentat...
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05/31/2018
Diverse and Controllable Image Captioning with Part-of-Speech Guidance
Automatically describing an image is an important capability for virtual...
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03/29/2018
Generative Modeling using the Sliced Wasserstein Distance
Generative Adversarial Nets (GANs) are very successful at modeling distr...
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03/29/2018
Two can play this Game: Visual Dialog with Discriminative Question Generation and Answering
Human conversation is a complex mechanism with subtle nuances. It is hen...
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11/24/2017
Convolutional Image Captioning
Image captioning is an important but challenging task, applicable to vir...
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06/19/2017
Dualing GANs
Generative adversarial nets (GANs) are a promising technique for modelin...
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04/11/2017
Creativity: Generating Diverse Questions using Variational Autoencoders
Generating diverse questions for given images is an important task for c...
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09/09/2015
Statistical Inference, Learning and Models in Big Data
The need for new methods to deal with big data is a common theme in most...
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06/27/2012
