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08/31/2023
Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images
Generating 3D faces from textual descriptions has a multitude of applica...
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07/30/2023
MTD-GPT: A Multi-Task Decision-Making GPT Model for Autonomous Driving at Unsignalized Intersections
Autonomous driving technology is poised to transform transportation syst...
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07/04/2023
Nexus sine qua non: Essentially connected neural networks for spatial-temporal forecasting of multivariate time series
Modeling and forecasting multivariate time series not only facilitates t...
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11/29/2022
Towards Generalized Open Information Extraction
Open Information Extraction (OpenIE) facilitates the open-domain discove...
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09/08/2022
Implicit Full Waveform Inversion with Deep Neural Representation
Full waveform inversion (FWI) commonly stands for the state-of-the-art a...
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06/21/2022
Scaling up Kernels in 3D CNNs
Recent advances in 2D CNNs and vision transformers (ViTs) reveal that la...
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06/02/2022
PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
In this paper, we propose PETRv2, a unified framework for 3D perception ...
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05/30/2022
Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems
In this paper, we present Duplex Conversation, a multi-turn, multimodal ...
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05/28/2022
A Closer Look at Self-supervised Lightweight Vision Transformers
Self-supervised learning on large-scale Vision Transformers (ViTs) as pr...
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04/10/2022
Simple Baselines for Image Restoration
Although there have been significant advances in the field of image rest...
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03/15/2022
Progressive End-to-End Object Detection in Crowded Scenes
In this paper, we propose a new query-based detection framework for crow...
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10/25/2021
Instance-Conditional Knowledge Distillation for Object Detection
Despite the success of Knowledge Distillation (KD) on image classificati...
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07/18/2021
YOLOX: Exceeding YOLO Series in 2021
In this report, we present some experienced improvements to YOLO series,...
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06/07/2021
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
This paper reviews the NTIRE2021 challenge on burst super-resolution. Gi...
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03/26/2021
OTA: Optimal Transport Assignment for Object Detection
Recent advances in label assignment in object detection mainly seek to i...
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01/19/2021
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning
In this paper, we present a novel approach, Momentum^2 Teacher, for stud...
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01/11/2021
RepVGG: Making VGG-style ConvNets Great Again
We present a simple but powerful architecture of convolutional neural ne...
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12/25/2020
Implicit Feature Pyramid Network for Object Detection
In this paper, we present an implicit feature pyramid network (i-FPN) fo...
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05/18/2020
Joint Multi-Dimension Pruning
We present joint multi-dimension pruning (named as JointPruning), a new ...
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05/12/2020
Dynamic Memory Induction Networks for Few-Shot Text Classification
This paper proposes Dynamic Memory Induction Networks (DMIN) for few-sho...
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04/26/2020
Stitcher: Feedback-driven Data Provider for Object Detection
Object detectors commonly vary quality according to scales, where the pe...
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09/10/2019
Disentangled Image Matting
Most previous image matting methods require a roughly-specificed trimap ...
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03/31/2019
Single Path One-Shot Neural Architecture Search with Uniform Sampling
One-shot method is a powerful Neural Architecture Search (NAS) framework...
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03/26/2019
DetNAS: Neural Architecture Search on Object Detection
Object detectors are usually equipped with networks designed for image c...
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02/27/2019
Few-Shot Text Classification with Induction Network
Text classification tends to struggle when data is deficient or when it ...
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04/30/2018
CrowdHuman: A Benchmark for Detecting Human in a Crowd
Human detection has witnessed impressive progress in recent years. Howev...
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11/20/2017
MegDet: A Large Mini-Batch Object Detector
The improvements in recent CNN-based object detection works, from R-CNN ...
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07/19/2017
Channel Pruning for Accelerating Very Deep Neural Networks
In this paper, we introduce a new channel pruning method to accelerate v...
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05/20/2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks
We present region-based, fully convolutional networks for accurate and e...
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03/16/2016
Identity Mappings in Deep Residual Networks
Deep residual networks have emerged as a family of extremely deep archit...
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12/10/2015
Deep Residual Learning for Image Recognition
Deeper neural networks are more difficult to train. We present a residua...
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06/04/2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
State-of-the-art object detection networks depend on region proposal alg...
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05/05/2015
Fast Guided Filter
The guided filter is a technique for edge-aware image filtering. Because...
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06/18/2014
