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08/15/2023
Multimodal Dataset Distillation for Image-Text Retrieval
Dataset distillation methods offer the promise of reducing a large-scale...
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02/16/2023
Boundary Guided Mixing Trajectory for Semantic Control with Diffusion Models
Applying powerful generative denoising diffusion models (DDMs) for downs...
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06/06/2022
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks
We propose an algorithm that compresses the critical information of a la...
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04/24/2021
Adaptive Appearance Rendering
We propose an approach to generate images of people given a desired appe...
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07/11/2020
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation
The ability to perform effective planning is crucial for building an ins...
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05/10/2020
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps
Learning to follow instructions is of fundamental importance to autonomo...
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03/31/2020
Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation
In the Vision-and-Language Navigation (VLN) task, an agent with egocentr...
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09/29/2019
Policy Message Passing: A New Algorithm for Probabilistic Graph Inference
A general graph-structured neural network architecture operates on graph...
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08/07/2019
Continuous Graph Flow for Flexible Density Estimation
In this paper, we propose Continuous Graph Flow, a generative continuous...
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02/18/2018
Structured Label Inference for Visual Understanding
Visual data such as images and videos contain a rich source of structure...
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01/18/2018
Sparsely Connected Convolutional Networks
Residual learning with skip connections permits training ultra-deep neur...
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06/07/2017
Active Learning for Structured Prediction from Partially Labeled Data
We propose a general purpose active learning algorithm for structured pr...
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05/30/2017
Generic Tubelet Proposals for Action Localization
We develop a novel framework for action localization in videos. We propo...
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03/29/2017
LabelBank: Revisiting Global Perspectives for Semantic Segmentation
Semantic segmentation requires a detailed labeling of image pixels by ob...
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11/24/2016
Recalling Holistic Information for Semantic Segmentation
Semantic segmentation requires a detailed labeling of image pixels by ob...
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07/09/2016
Hierarchical Deep Temporal Models for Group Activity Recognition
In this paper we present an approach for classifying the activity perfor...
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11/13/2015
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition
Rich semantic relations are important in a variety of visual recognition...
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06/12/2015