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08/11/2023
Compositional Learning in Transformer-Based Human-Object Interaction Detection
Human-object interaction (HOI) detection is an important part of underst...
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08/11/2023
Uncertainty-Aware Cross-Modal Transfer Network for Sketch-Based 3D Shape Retrieval
In recent years, sketch-based 3D shape retrieval has attracted growing a...
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07/24/2023
Exposing the Troublemakers in Described Object Detection
Detecting objects based on language descriptions is a popular task that ...
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07/18/2023
EgoVM: Achieving Precise Ego-Localization using Lightweight Vectorized Maps
Accurate and reliable ego-localization is critical for autonomous drivin...
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03/24/2023
Category Query Learning for Human-Object Interaction Classification
Unlike most previous HOI methods that focus on learning better human-obj...
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04/04/2022
Gan-Based Joint Activity Detection and Channel Estimation For Grant-free Random Access
Joint activity detection and channel estimation (JADCE) for grant-free r...
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03/01/2022
Adversarial samples for deep monocular 6D object pose estimation
Estimating object 6D pose from an RGB image is important for many real-w...
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12/12/2021
Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward
Discovering hazardous scenarios is crucial in testing and further improv...
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07/08/2021
A hybrid deep learning framework for Covid-19 detection via 3D Chest CT Images
In this paper, we present a hybrid deep learning framework named CTNet w...
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12/07/2020
EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture
In this work, we address the Text-to-Speech (TTS) task by proposing a no...
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11/25/2020
aw_nas: A Modularized and Extensible NAS framework
Neural Architecture Search (NAS) has received extensive attention due to...
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11/21/2020
BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures
Binary Neural Networks (BNNs) have received significant attention due to...
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09/18/2020
Hardware Accelerator for Multi-Head Attention and Position-Wise Feed-Forward in the Transformer
Designing hardware accelerators for deep neural networks (DNNs) has been...
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08/07/2020
A Surgery of the Neural Architecture Evaluators
Neural architecture search (NAS) recently received extensive attention d...
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04/11/2019
3D Dense Face Alignment via Graph Convolution Networks
Recently, 3D face reconstruction and face alignment tasks are gradually ...
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02/20/2019
DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-based CNN Accelerators
The convolutional neural network (CNN) has become a state-of-the-art met...
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03/15/2018
Pseudo Mask Augmented Object Detection
In this work, we present a novel and effective framework to facilitate o...
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11/22/2017
Integral Human Pose Regression
State-of-the-art human pose estimation methods are dominated by complex ...
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04/01/2017
Compositional Human Pose Regression
Regression based methods are not performing as well as detection based m...
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09/17/2016
Deep Kinematic Pose Regression
Learning articulated object pose is inherently difficult because the pos...
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07/05/2016