Search Results for author: Emad Barsoum

Found 9 papers, 2 papers with code

LADDER: An Efficient Framework for Video Frame Interpolation

no code implementations17 Apr 2024 Tong Shen, Dong Li, Ziheng Gao, Lu Tian, Emad Barsoum

Video Frame Interpolation (VFI) is a crucial technique in various applications such as slow-motion generation, frame rate conversion, video frame restoration etc.

Video Frame Interpolation

Sparse Laneformer

no code implementations11 Apr 2024 Ji Liu, Zifeng Zhang, Mingjie Lu, Hongyang Wei, Dong Li, Yile Xie, Jinzhang Peng, Lu Tian, Ashish Sirasao, Emad Barsoum

We analyze that dense anchors are not necessary for lane detection, and propose a transformer-based lane detection framework based on a sparse anchor mechanism.

Autonomous Driving Lane Detection

3D Human motion anticipation and classification

no code implementations31 Dec 2020 Emad Barsoum, John Kender, Zicheng Liu

Our model learns to predict multiple future sequences of human poses from the same input sequence.

Action Recognition Classification +6

Scaling Distributed Training with Adaptive Summation

no code implementations4 Jun 2020 Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi, Tianju Xu, Vadim Eksarevskiy, Jaliya Ekanayake, Emad Barsoum

This paper introduces a novel method to combine gradients called Adasum (for adaptive sum) that converges faster than prior work.

16k

NGEMM: Optimizing GEMM for Deep Learning via Compiler-based Techniques

no code implementations1 Oct 2019 Wenlei Bao, Li-Wen Chang, Yang Chen, Ke Deng, Amit Agarwal, Emad Barsoum, Abe Taha

Various approaches have been developed by leveraging techniques such as vectorization and memory layout to improve the performance of integer GEMM.

Quantization

Object Localization with a Weakly Supervised CapsNet

no code implementations20 May 2018 Weitang Liu, Emad Barsoum, John D. Owens

Our model can learn and derive the coordinates of the digits better than its convolution counterpart that lacks a routing-by-agreement algorithm, and can also perform well when testing on the multi-digit moving MNIST and KTH datasets.

Object Object Localization +3

HP-GAN: Probabilistic 3D human motion prediction via GAN

3 code implementations27 Nov 2017 Emad Barsoum, John Kender, Zicheng Liu

Our model, which we call HP-GAN, learns a probability density function of future human poses conditioned on previous poses.

Autonomous Vehicles Human motion prediction +5

Articulated Hand Pose Estimation Review

no code implementations21 Apr 2016 Emad Barsoum

In this paper, we focus on reviewing recent progress of hand pose estimation from depth sensor.

Hand Pose Estimation

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