Hassan Foroosh

research

∙ 06/21/2023

LPFormer: LiDAR Pose Estimation Transformer with Multi-Task Network

In this technical report, we present the 1st place solution for the 2023...

0 Dongqiangzi Ye, et al. ∙

research

∙ 05/27/2023

MeetingBank: A Benchmark Dataset for Meeting Summarization

As the number of recorded meetings increases, it becomes increasingly im...

0 Yebowen Hu, et al. ∙

research

∙ 05/24/2023

Analyzing Influential Factors in Human Preference Judgments via GPT-4

Pairwise human judgments are pivotal in guiding large language models (L...

0 Yebowen Hu, et al. ∙

research

∙ 03/24/2023

Personalizing Task-oriented Dialog Systems via Zero-shot Generalizable Reward Function

Task-oriented dialog systems enable users to accomplish tasks using natu...

0 A. B. Siddique, et al. ∙

research

∙ 03/21/2023

LiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR Perception

There is a recent trend in the LiDAR perception field towards unifying m...

0 Zixiang Zhou, et al. ∙

research

∙ 09/19/2022

LidarMultiNet: Towards a Unified Multi-task Network for LiDAR Perception

LiDAR-based 3D object detection, semantic segmentation, and panoptic seg...

0 Dongqiangzi Ye, et al. ∙

research

∙ 09/12/2022

CenterFormer: Center-based Transformer for 3D Object Detection

Query-based transformer has shown great potential in constructing long-r...

0 Zixiang Zhou, et al. ∙

research

∙ 06/23/2022

LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network

This technical report presents the 1st place winning solution for the Wa...

0 Dongqiangzi Ye, et al. ∙

research

∙ 03/26/2022

Near-Infrared Depth-Independent Image Dehazing using Haar Wavelets

We propose a fusion algorithm for haze removal that combines color infor...

0 Sumit Laha, et al. ∙

research

∙ 09/11/2021

StreamHover: Livestream Transcript Summarization and Annotation

With the explosive growth of livestream broadcasting, there is an urgent...

0 Sangwoo Cho, et al. ∙

research

∙ 03/27/2021

Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation

Panoptic segmentation presents a new challenge in exploiting the merits ...

0 Zixiang Zhou, et al. ∙

research

∙ 10/20/2020

Better Highlighting: Creating Sub-Sentence Summary Highlights

Amongst the best means to summarize is highlighting. In this paper, we a...

0 Sangwoo Cho, et al. ∙

research

∙ 08/19/2020

CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection

Deep neural network based object detection hasbecome the cornerstone of ...

7 Shengnan Hu, et al. ∙

research

∙ 03/31/2020

PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation

The requirement of fine-grained perception by autonomous driving systems...

12 Yang Zhang, et al. ∙

research

∙ 12/18/2019

Self-Attention Network for Skeleton-based Human Action Recognition

Skeleton-based action recognition has recently attracted a lot of attent...

11 Sangwoo Cho, et al. ∙

research

∙ 10/24/2019

Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations

Emerged as one of the best performing techniques for extractive summariz...

0 Sangwoo Cho, et al. ∙

research

∙ 10/21/2019

Maximum Probability Principle and Black-Box Priors

We present an axiomatic way of assigning probabilities to black box mode...

0 Amir Emad Marvasti, et al. ∙

research

∙ 07/03/2019

Slim-CNN: A Light-Weight CNN for Face Attribute Prediction

We introduce a computationally-efficient CNN micro-architecture Slim Mod...

4 Ankit Sharma, et al. ∙

research

∙ 06/17/2019

Spatio-Temporal Fusion Networks for Action Recognition

The video based CNN works have focused on effective ways to fuse appeara...

0 Sangwoo Cho, et al. ∙

research

∙ 06/17/2019

A Temporal Sequence Learning for Action Recognition and Prediction

In this work[This work was supported in part by the National Science Fou...

3 Sangwoo Cho, et al. ∙

research

∙ 05/31/2019

Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization

The most important obstacles facing multi-document summarization include...

0 Sangwoo Cho, et al. ∙

research

∙ 12/24/2018

A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes

During the last half decade, convolutional neural networks (CNNs) have t...

0 Yang Zhang, et al. ∙

research

∙ 11/30/2018

ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples

Deep neural networks (DNNs) have been demonstrated to be vulnerable to a...

0 Xiaojun Jia, et al. ∙

research

∙ 09/26/2018

Rediscovering Deep Neural Networks in Finite-State Distributions

We propose a new way of thinking about deep neural networks, in which th...

4 Amir Emad Marvasti, et al. ∙

research

∙ 08/28/2018

Probabilistic Sparse Subspace Clustering Using Delayed Association

Discovering and clustering subspaces in high-dimensional data is a funda...

0 Maryam Jaberi, et al. ∙

research

∙ 05/22/2017

View-Invariant Recognition of Action Style Self-Dissimilarity

Self-similarity was recently introduced as a measure of inter-class cong...

0 Yuping Shen, et al. ∙

research

∙ 05/22/2017

An Invariant Model of the Significance of Different Body Parts in Recognizing Different Actions

In this paper, we show that different body parts do not play equally imp...

0 Yuping Shen, et al. ∙

research

∙ 05/20/2017

Phase-Shifting Separable Haar Wavelets and Applications

This paper presents a new approach for tackling the shift-invariance pro...

0 Mais Alnasser, et al. ∙

research

∙ 05/20/2017

Non-Linear Phase-Shifting of Haar Wavelets for Run-Time All-Frequency Lighting

This paper focuses on real-time all-frequency image-based rendering usin...

0 Mais Alnasser, et al. ∙

research

∙ 05/15/2017

Learning Semantics for Image Annotation

Image search and retrieval engines rely heavily on textual annotation in...

0 Amara Tariq, et al. ∙

research

∙ 05/14/2017

A Closed-Form Model for Image-Based Distant Lighting

In this paper, we present a new mathematical foundation for image-based ...

0 Mais Alnasser, et al. ∙

research

∙ 05/14/2017

Volumetric Super-Resolution of Multispectral Data

Most multispectral remote sensors (e.g. QuickBird, IKONOS, and Landsat 7...

0 Vildan Atalay Aydin, et al. ∙

research

∙ 05/13/2017

Motion-Compensated Temporal Filtering for Critically-Sampled Wavelet-Encoded Images

We propose a novel motion estimation/compensation (ME/MC) method for wav...

0 Vildan Atalay Aydin, et al. ∙

research

∙ 05/12/2017

Single Image Action Recognition by Predicting Space-Time Saliency

We propose a novel approach based on deep Convolutional Neural Networks ...

0 Marjaneh Safaei, et al. ∙

research

∙ 05/12/2017

View-Invariant Template Matching Using Homography Constraints

Change in viewpoint is one of the major factors for variation in object ...

0 Sina Lotfian, et al. ∙

research

∙ 05/06/2017

Image Annotation using Multi-Layer Sparse Coding

Automatic annotation of images with descriptive words is a challenging p...

0 Amara Tariq, et al. ∙

research

∙ 05/03/2017

Super-Resolution of Wavelet-Encoded Images

Multiview super-resolution image reconstruction (SRIR) is often cast as ...

0 Vildan Atalay Aydin, et al. ∙

research

∙ 08/15/2016

Design of Efficient Convolutional Layers using Single Intra-channel Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure

Deep convolutional neural networks achieve remarkable visual recognition...

0 Min Wang, et al. ∙

Hassan Foroosh

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