Search Results for author: Mubbasir Kapadia

Found 20 papers, 8 papers with code

Laying the Foundations of Deep Long-Term Crowd Flow Prediction

1 code implementation ECCV 2020 Samuel S. Sohn, Honglu Zhou, Seonghyeon Moon, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia

Predicting the crowd behavior in complex environments is a key requirement for crowd and disaster management, architectural design, and urban planning.

Cross-Modal Coherence for Text-to-Image Retrieval

no code implementations22 Sep 2021 Malihe Alikhani, Fangda Han, Hareesh Ravi, Mubbasir Kapadia, Vladimir Pavlovic, Matthew Stone

Common image-text joint understanding techniques presume that images and the associated text can universally be characterized by a single implicit model.

Image Retrieval Text-to-Image Retrieval

Hopper: Multi-hop Transformer for Spatiotemporal Reasoning

1 code implementation ICLR 2021 Honglu Zhou, Asim Kadav, Farley Lai, Alexandru Niculescu-Mizil, Martin Renqiang Min, Mubbasir Kapadia, Hans Peter Graf

We evaluate over CATER dataset and find that Hopper achieves 73. 2% Top-1 accuracy using just 1 FPS by hopping through just a few critical frames.

AESOP: Abstract Encoding of Stories, Objects, and Pictures

1 code implementation ICCV 2021 Hareesh Ravi, Kushal Kafle, Scott Cohen, Jonathan Brandt, Mubbasir Kapadia

Visual storytelling and story comprehension are uniquely human skills that play a central role in how we learn about and experience the world.

Story Completion Visual Storytelling

Graph-Based Generative Representation Learning of Semantically and Behaviorally Augmented Floorplans

no code implementations8 Dec 2020 Vahid Azizi, Muhammad Usman, Honglu Zhou, Petros Faloutsos, Mubbasir Kapadia

We present a floorplan embedding technique that uses an attributed graph to represent the geometric information as well as design semantics and behavioral features of the inhabitants as node and edge attributes.

Representation Learning

GitEvolve: Predicting the Evolution of GitHub Repositories

1 code implementation9 Oct 2020 Honglu Zhou, Hareesh Ravi, Carlos M. Muniz, Vahid Azizi, Linda Ness, Gerard de Melo, Mubbasir Kapadia

Given its crucial role, there is a need to better understand and model the dynamics of GitHub as a social platform.

Representation Learning

HID: Hierarchical Multiscale Representation Learning for Information Diffusion

2 code implementations19 Apr 2020 Honglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang, Mubbasir Kapadia

In this paper, we present a Hierarchical Information Diffusion (HID) framework by integrating user representation learning and multiscale modeling.

Representation Learning

Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge

no code implementations CVPR 2020 Long Zhao, Xi Peng, Yuxiao Chen, Mubbasir Kapadia, Dimitris N. Metaxas

Our key idea is to generalize the distilled cross-modal knowledge learned from a Source dataset, which contains paired examples from both modalities, to the Target dataset by modeling knowledge as priors on parameters of the Student.

3D Hand Pose Estimation Knowledge Distillation

Deep Crowd-Flow Prediction in Built Environments

no code implementations13 Oct 2019 Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia

In this paper, we propose an approach to instantly predict the long-term flow of crowds in arbitrarily large, realistic environments.

Cognitive Agent Based Simulation Model For Improving Disaster Response Procedures

no code implementations2 Oct 2019 Rohit K. Dubey, Samuel S. Sohn, Christoph Hoelscher, Mubbasir Kapadia

In this paper, we propose an agent-based simulation tool, which is grounded in human cognition and decision-making, for evaluating and improving the effectiveness of building evacuation procedures and guidance systems during a disaster.

Decision Making Decision Making Under Uncertainty +1

Domain Authoring Assistant for Intelligent Virtual Agents

no code implementations5 Apr 2019 Sepehr Janghorbani, Ashutosh Modi, Jakob Buhmann, Mubbasir Kapadia

The process of creating such characters often involves a team of creative authors who describe different aspects of the characters in natural language, and planning experts that translate this description into a planning domain.

Topic Spotting using Hierarchical Networks with Self Attention

no code implementations NAACL 2019 Pooja Chitkara, Ashutosh Modi, Pravalika Avvaru, Sepehr Janghorbani, Mubbasir Kapadia

Additionally, in contrast to offline processing of dialog, we also analyze the performance of our model in a more realistic setting i. e. in an online setting where the topic is identified in real time as the dialog progresses.

Text Classification

Affect-Driven Dialog Generation

no code implementations NAACL 2019 Pierre Colombo, Wojciech Witon, Ashutosh Modi, James Kennedy, Mubbasir Kapadia

The majority of current systems for end-to-end dialog generation focus on response quality without an explicit control over the affective content of the responses.

Learning to Forecast and Refine Residual Motion for Image-to-Video Generation

1 code implementation ECCV 2018 Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris Metaxas

We consider the problem of image-to-video translation, where an input image is translated into an output video containing motions of a single object.

Human Pose Forecasting Translation +1

Cartoonish sketch-based face editing in videos using identity deformation transfer

no code implementations25 Mar 2017 Long Zhao, Fangda Han, Xi Peng, Xun Zhang, Mubbasir Kapadia, Vladimir Pavlovic, Dimitris N. Metaxas

We first recover the facial identity and expressions from the video by fitting a face morphable model for each frame.

Face Model

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