369 citations · 1.8k across the 93 of their papers we have counts for
13 papers · 1 filter
Relation Graph Network for 3D Object Detection in Point Clouds
Mingtao Feng, Syed Zulqarnain Gilani, Yaonan Wang +2
Convolutional Neural Networks (CNNs) have emerged as a powerful strategy for most object detection tasks on 2D images. However, their power has not been fully realised for detectin…
Empirical Autopsy of Deep Video Captioning Frameworks
Nayyer Aafaq, Naveed Akhtar, Wei Liu +1
Contemporary deep learning based video captioning follows encoder-decoder framework. In encoder, visual features are extracted with 2D/3D Convolutional Neural Networks (CNNs) and a…
Diversifying Topic-Coherent Response Generation for Natural Multi-turn Conversations
Fei Hu, Wei Liu, Ajmal Saeed Mian +1
Although response generation (RG) diversification for single-turn dialogs has been well developed, it is less investigated for natural multi-turn conversations. Besides, past work…
Deep localization of protein structures in fluorescence microscopy images
Muhammad Tahir, Saeed Anwar, Ajmal Mian +1
Accurate localization of proteins from fluorescence microscopy images is challenging due to the inter-class similarities and intra-class disparities introducing grave concerns in a…
Point Attention Network for Semantic Segmentation of 3D Point Clouds
Mingtao Feng, Liang Zhang, Xuefei Lin +2
Convolutional Neural Networks (CNNs) have performed extremely well on data represented by regularly arranged grids such as images. However, directly leveraging the classic convolut…
Adversarial Attack on Skeleton-based Human Action Recognition
Jian Liu, Naveed Akhtar, Ajmal Mian
Deep learning models achieve impressive performance for skeleton-based human action recognition. However, the robustness of these models to adversarial attacks remains largely unex…
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
Huan Lei, Naveed Akhtar, Ajmal Mian
We propose a spherical kernel for efficient graph convolution of 3D point clouds. Our metric-based kernels systematically quantize the local 3D space to identify distinctive geomet…
Temporally Coherent Full 3D Mesh Human Pose Recovery from Monocular Video
Jian Liu, Naveed Akhtar, Ajmal Mian
Advances in Deep Learning have recently made it possible to recover full 3D meshes of human poses from individual images. However, extension of this notion to videos for recovering…
Label Universal Targeted Attack
Naveed Akhtar, Mohammad A. A. K. Jalwana, Mohammed Bennamoun +1
We introduce Label Universal Targeted Attack (LUTA) that makes a deep model predict a label of attacker's choice for `any' sample of a given source class with high probability. Our…
Converting a Common Document Scanner to a Multispectral Scanner
Zohaib Khan, Faisal Shafait, Ajmal Mian
We propose the construction of a prototype scanner designed to capture multispectral images of documents. A standard sheet-feed scanner is modified by disconnecting its internal li…
Multidimensional ground reaction forces and moments from wearable sensor accelerations via deep learning
William R. Johnson, Ajmal Mian, Mark A. Robinson +3
Monitoring athlete internal workload exposure, including prevention of catastrophic non-contact knee injuries, relies on the existence of a custom early-warning detection system. T…
Octree guided CNN with Spherical Kernels for 3D Point Clouds
Huan Lei, Naveed Akhtar, Ajmal Mian
We propose an octree guided neural network architecture and spherical convolutional kernel for machine learning from arbitrary 3D point clouds. The network architecture capitalizes…
Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning
Nayyer Aafaq, Naveed Akhtar, Wei Liu +2
Automatic generation of video captions is a fundamental challenge in computer vision. Recent techniques typically employ a combination of Convolutional Neural Networks (CNNs) and R…