research
∙
06/22/2023
AudioPaLM: A Large Language Model That Can Speak and Listen
We introduce AudioPaLM, a large language model for speech understanding ...
share
research
∙
02/08/2023
Noise2Music: Text-conditioned Music Generation with Diffusion Models
We introduce Noise2Music, where a series of diffusion models is trained ...
research
∙
03/25/2021
CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models
Part segmentations provide a rich and detailed part-level description of...
research
∙
12/01/2020
Unsupervised Part Discovery via Feature Alignment
Understanding objects in terms of their individual parts is important, b...
research
∙
05/08/2020
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction
Detecting pedestrians and predicting future trajectories for them are cr...
research
∙
11/18/2019
Localizing Occluders with Compositional Convolutional Networks
Compositional convolutional networks are generative compositional models...
research
∙
09/03/2019
Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer...
research
∙
06/23/2019
Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures
Trauma is the worldwide leading cause of death and disability in those y...
research
∙
05/28/2019
Compositional Convolutional Networks For Robust Object Classification under Occlusion
Deep convolutional neural networks (DCNNs) are powerful models that yiel...
research
∙
12/09/2018
Learning Transferable Adversarial Examples via Ghost Networks
The recent development of adversarial attack has proven that ensemble-ba...
research
∙
11/28/2018
Robust Face Detection via Learning Small Faces on Hard Images
Recent anchor-based deep face detectors have achieved promising performa...
research
∙
03/31/2018
Adversarial Attacks and Defences Competition
To accelerate research on adversarial examples and robustness of machine...
research
∙
03/19/2018
Improving Transferability of Adversarial Examples with Input Diversity
Though convolutional neural networks have achieved state-of-the-art perf...
research
∙
03/15/2018
Deep Co-Training for Semi-Supervised Image Recognition
In this paper, we study the problem of semi-supervised image recognition...
research
∙
12/01/2017
Single-Shot Object Detection with Enriched Semantics
We propose a novel single shot object detection network named Detection ...
research
∙
11/25/2017
Gradually Updated Neural Networks for Large-Scale Image Recognition
We present a simple yet effective neural network architecture for image ...
research
∙
11/13/2017
Visual Concepts and Compositional Voting
It is very attractive to formulate vision in terms of pattern theory Mum...
research
∙
11/06/2017
Mitigating adversarial effects through randomization
Convolutional neural networks have demonstrated their powerful ability o...
research
∙
09/14/2017
DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion
In this paper, we study the task of detecting semantic parts of an objec...
research
∙
07/25/2017
Detecting Semantic Parts on Partially Occluded Objects
In this paper, we address the task of detecting semantic parts on partia...
research
∙
03/24/2017
