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06/07/2023
Optimizing ViViT Training: Time and Memory Reduction for Action Recognition
In this paper, we address the challenges posed by the substantial traini...
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06/02/2023
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
Observing the close relationship among panoptic, semantic and instance s...
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05/03/2023
Learning to Detect Novel and Fine-Grained Acoustic Sequences Using Pretrained Audio Representations
This work investigates pretrained audio representations for few shot Sou...
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05/27/2021
Doubly robust, machine learning effect estimation in real-world clinical sciences: A practical evaluation of performance in molecular epidemiology cohort settings
Modern efficient estimators such as AIPW and TMLE facilitate the applica...
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04/06/2021
Local Metrics for Multi-Object Tracking
This paper introduces temporally local metrics for Multi-Object Tracking...
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04/01/2021
The surprising impact of mask-head architecture on novel class segmentation
Instance segmentation models today are very accurate when trained on lar...
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10/12/2020
The implications of outcome truncation in reproductive medicine RCTs: a simulation platform for trialists and simulation study
Randomised controlled trials in reproductive medicine are often subject ...
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09/28/2020
PERF-Net: Pose Empowered RGB-Flow Net
In recent years, many works in the video action recognition literature h...
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09/17/2020
Utterance-level Intent Recognition from Keywords
This paper focuses on wake on intent (WOI) techniques for platforms with...
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08/11/2020
Compact Speaker Embedding: lrx-vector
Deep neural networks (DNN) have recently been widely used in speaker rec...
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03/30/2020
RetinaTrack: Online Single Stage Joint Detection and Tracking
Traditionally multi-object tracking and object detection are performed u...
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12/20/2019
Exploring Context, Attention and Audio Features for Audio Visual Scene-Aware Dialog
We are witnessing a confluence of vision, speech and dialog system techn...
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12/20/2019
Leveraging Topics and Audio Features with Multimodal Attention for Audio Visual Scene-Aware Dialog
With the recent advancements in Artificial Intelligence (AI), Intelligen...
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12/07/2019
Long Term Temporal Context for Per-Camera Object Detection
In static monitoring cameras, useful contextual information can stretch ...
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10/25/2019
Structural sparsification for Far-field Speaker Recognition with GNA
Recently, deep neural networks (DNN) have been widely used in speaker re...
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12/20/2018
Context, Attention and Audio Feature Explorations for Audio Visual Scene-Aware Dialog
With the recent advancements in AI, Intelligent Virtual Assistants (IVA)...
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11/27/2018
Uncertainty aware multimodal activity recognition with Bayesian inference
Deep neural networks (DNNs) provide state-of-the-art results for a multi...
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06/07/2018
Multimodal Relational Tensor Network for Sentiment and Emotion Classification
Understanding Affect from video segments has brought researchers from th...
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03/16/2018
Learning to Segment via Cut-and-Paste
This paper presents a weakly-supervised approach to object instance segm...
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12/13/2017
Rethinking Spatiotemporal Feature Learning For Video Understanding
In this paper we study 3D convolutional networks for video understanding...
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12/02/2017
Progressive Neural Architecture Search
We propose a method for learning CNN structures that is more efficient t...
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05/30/2017
Generative Models of Visually Grounded Imagination
It is easy for people to imagine what a man with pink hair looks like, e...
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05/05/2017
Motion Prediction Under Multimodality with Conditional Stochastic Networks
Given a visual history, multiple future outcomes for a video scene are e...
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12/07/2016
Spatially Adaptive Computation Time for Residual Networks
This paper proposes a deep learning architecture based on Residual Netwo...
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11/30/2016
Speed/accuracy trade-offs for modern convolutional object detectors
The goal of this paper is to serve as a guide for selecting a detection ...
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11/09/2015
Detecting events and key actors in multi-person videos
Multi-person event recognition is a challenging task, often with many pe...
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11/07/2015
Generation and Comprehension of Unambiguous Object Descriptions
We propose a method that can generate an unambiguous description (known ...
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06/19/2015
Deep Knowledge Tracing
Knowledge tracing---where a machine models the knowledge of a student as...
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05/22/2015
Learning Program Embeddings to Propagate Feedback on Student Code
Providing feedback, both assessing final work and giving hints to stuck ...
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03/05/2015
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision
We present a novel method for aligning a sequence of instructions to a v...
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07/09/2013
Tuned Models of Peer Assessment in MOOCs
In massive open online courses (MOOCs), peer grading serves as a critica...
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02/14/2012
Efficient Probabilistic Inference with Partial Ranking Queries
Distributions over rankings are used to model data in various settings s...
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06/07/2010