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09/15/2023
Self-Consistent Narrative Prompts on Abductive Natural Language Inference
Abduction has long been seen as crucial for narrative comprehension and ...
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08/10/2023
Learning Gabor Texture Features for Fine-Grained Recognition
Extracting and using class-discriminative features is critical for fine-...
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07/31/2023
Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation
As a representative cyber-physical system (CPS), robotic manipulator has...
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06/14/2023
Towards Balanced Active Learning for Multimodal Classification
Training multimodal networks requires a vast amount of data due to their...
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06/09/2023
TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses
3D multi-object tracking (MOT) is vital for many applications including ...
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06/04/2023
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning
In fully cooperative multi-agent reinforcement learning (MARL) settings,...
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05/06/2023
Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport
Answering complex queries on knowledge graphs is important but particula...
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04/11/2023
Continual Semantic Segmentation with Automatic Memory Sample Selection
Continual Semantic Segmentation (CSS) extends static semantic segmentati...
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03/15/2023
VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation
We introduce VideoFlow, a novel optical flow estimation framework for vi...
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03/02/2023
FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation
FlowFormer introduces a transformer architecture into optical flow estim...
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01/21/2023
Logical Message Passing Networks with One-hop Inference on Atomic Formulas
Complex Query Answering (CQA) over Knowledge Graphs (KGs) has attracted ...
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01/01/2023
MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs
New architecture GPUs like A100 are now equipped with multi-instance GPU...
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12/17/2022
Inductive Attention for Video Action Anticipation
Anticipating future actions based on video observations is an important ...
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11/23/2022
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension
One-shot neural architecture search (NAS) substantially improves the sea...
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11/07/2022
Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform
The choice of geometric space for knowledge graph (KG) embeddings can ha...
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11/02/2022
CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation
Radiology report generation (RRG) has gained increasing research attenti...
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10/14/2022
PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population
Commonsense Knowledge Base (CSKB) Population aims at reasoning over unse...
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10/13/2022
SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller
In this paper, we propose a new task of sub-event generation for an unse...
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10/02/2022
Saving the Limping: Fault-tolerant Quadruped Locomotion via Reinforcement Learning
Quadruped locomotion now has acquired the skill to traverse or even spri...
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07/04/2022
Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation
Automatic generation of medical reports from X-ray images can assist rad...
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06/22/2022
NVIDIA-UNIBZ Submission for EPIC-KITCHENS-100 Action Anticipation Challenge 2022
In this report, we describe the technical details of our submission for ...
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06/02/2022
Unified Recurrence Modeling for Video Action Anticipation
Forecasting future events based on evidence of current conditions is an ...
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10/18/2021
Speech Representation Learning Through Self-supervised Pretraining And Multi-task Finetuning
Speech representation learning plays a vital role in speech processing. ...
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09/26/2021
Self-Supervised Video Representation Learning by Video Incoherence Detection
This paper introduces a novel self-supervised method that leverages inco...
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07/11/2021
Aligning Correlation Information for Domain Adaptation in Action Recognition
Domain adaptation (DA) approaches address domain shift and enable networ...
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08/26/2020
Effective Action Recognition with Embedded Key Point Shifts
Temporal feature extraction is an essential technique in video-based act...
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07/07/2020
A deep learning based nonlinear upscaling method for transport equations
We will develop a nonlinear upscaling method for nonlinear transport equ...
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06/09/2020
PNL: Efficient Long-Range Dependencies Extraction with Pyramid Non-Local Module for Action Recognition
Long-range spatiotemporal dependencies capturing plays an essential role...
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06/06/2020
ARID: A New Dataset for Recognizing Action in the Dark
The task of action recognition in dark videos is useful in various scena...
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05/06/2020
Exploiting Inter-Frame Regional Correlation for Efficient Action Recognition
Temporal feature extraction is an important issue in video-based action ...
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03/08/2020
Dependently Typed Knowledge Graphs
Reasoning over knowledge graphs is traditionally built upon a hierarchy ...
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11/20/2019
Understanding Top-k Sparsification in Distributed Deep Learning
Distributed stochastic gradient descent (SGD) algorithms are widely depl...
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07/09/2019
Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention
Lesion detection from computed tomography (CT) scans is challenging comp...
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10/10/2018
Secure Deep Learning Engineering: A Software Quality Assurance Perspective
Over the past decades, deep learning (DL) systems have achieved tremendo...
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09/04/2018
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing
In company with the data explosion over the past decade, deep neural net...
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09/04/2018
Coverage-Guided Fuzzing for Deep Neural Networks
In company with the data explosion over the past decade, deep neural net...
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01/29/2018
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
It is desirable to train convolutional networks (CNNs) to run more effic...
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06/04/2017
CRNN: A Joint Neural Network for Redundancy Detection
This paper proposes a novel framework for detecting redundancy in superv...
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05/27/2017
Fast MPEG-CDVS Encoder with GPU-CPU Hybrid Computing
The compact descriptors for visual search (CDVS) standard from ISO/IEC m...
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08/03/2016