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09/08/2023
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays
Real-world application of chest X-ray abnormality classification require...
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04/12/2023
How you feelin'? Learning Emotions and Mental States in Movie Scenes
Movie story analysis requires understanding characters' emotions and men...
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03/22/2023
GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering
Commonsense question-answering (QA) methods combine the power of pre-tra...
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01/05/2023
Test of Time: Instilling Video-Language Models with a Sense of Time
Modeling and understanding time remains a challenge in contemporary vide...
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12/02/2022
Sonus Texere! Automated Dense Soundtrack Construction for Books using Movie Adaptations
Reading, much like music listening, is an immersive experience that tran...
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11/23/2022
Can we Adopt Self-supervised Pretraining for Chest X-Rays?
Chest radiograph (or Chest X-Ray, CXR) is a popular medical imaging moda...
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11/17/2022
Language Conditioned Spatial Relation Reasoning for 3D Object Grounding
Localizing objects in 3D scenes based on natural language requires under...
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10/29/2022
Unsupervised Audio-Visual Lecture Segmentation
Over the last decade, online lecture videos have become increasingly pop...
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10/19/2022
Grounded Video Situation Recognition
Dense video understanding requires answering several questions such as w...
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09/11/2022
Instruction-driven history-aware policies for robotic manipulations
In human environments, robots are expected to accomplish a variety of ma...
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08/24/2022
Learning from Unlabeled 3D Environments for Vision-and-Language Navigation
In vision-and-language navigation (VLN), an embodied agent is required t...
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08/03/2022
Learning Object Manipulation Skills from Video via Approximate Differentiable Physics
We aim to teach robots to perform simple object manipulation tasks by wa...
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02/23/2022
Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation
Following language instructions to navigate in unseen environments is a ...
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11/10/2021
Feature Generation for Long-tail Classification
The visual world naturally exhibits an imbalance in the number of object...
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08/20/2021
Airbert: In-domain Pretraining for Vision-and-Language Navigation
Vision-and-language navigation (VLN) aims to enable embodied agents to n...
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11/13/2020
Learning Object Manipulation Skills via Approximate State Estimation from Real Videos
Humans are adept at learning new tasks by watching a few instructional v...
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04/05/2020
Deep Multimodal Feature Encoding for Video Ordering
True understanding of videos comes from a joint analysis of all its moda...
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04/05/2020
Clustering based Contrastive Learning for Improving Face Representations
A good clustering algorithm can discover natural groupings in data. Thes...
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03/29/2020
Learning Interactions and Relationships between Movie Characters
Interactions between people are often governed by their relationships. O...
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12/30/2019
The Shmoop Corpus: A Dataset of Stories with Loosely Aligned Summaries
Understanding stories is a challenging reading comprehension problem for...
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08/09/2019
Video Face Clustering with Unknown Number of Clusters
Understanding videos such as TV series and movies requires analyzing who...
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06/07/2019
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
Learning text-video embeddings usually requires a dataset of video clips...
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03/03/2019
Self-Supervised Learning of Face Representations for Video Face Clustering
Analyzing the story behind TV series and movies often requires understan...
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06/06/2018
Progressive Reasoning by Module Composition
Humans learn to solve tasks of increasing complexity by building on top ...
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12/19/2017
MovieGraphs: Towards Understanding Human-Centric Situations from Videos
There is growing interest in artificial intelligence to build socially i...
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08/14/2017
Situation Recognition with Graph Neural Networks
We address the problem of recognizing situations in images. Given an ima...
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11/22/2016
Relaxed Earth Mover's Distances for Chain- and Tree-connected Spaces and their use as a Loss Function in Deep Learning
The Earth Mover's Distance (EMD) computes the optimal cost of transformi...
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10/15/2016
Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning
Collecting training images for all visual categories is not only expensi...
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12/09/2015
