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08/21/2023
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection
Multi-view 3D detection based on BEV (bird-eye-view) has recently achiev...
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08/02/2023
Flexible Coherent Optical Access: Architectures, Algorithms, and Demonstrations
To cope with the explosive bandwidth demand, significant progress has be...
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06/13/2023
SqueezeLLM: Dense-and-Sparse Quantization
Generative Large Language Models (LLMs) have demonstrated remarkable res...
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04/02/2023
Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting
In this paper, we present a new method for the multiview registration of...
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03/18/2023
Discovering Predictable Latent Factors for Time Series Forecasting
Modern time series forecasting methods, such as Transformer and its vari...
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02/08/2023
Q-Diffusion: Quantizing Diffusion Models
Diffusion models have achieved great success in synthesizing diverse and...
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12/06/2022
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification
Mixed-precision quantization has been widely applied on deep neural netw...
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11/29/2022
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers
The complicated architecture and high training cost of vision transforme...
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09/19/2022
Detecting and Fixing Data Loss Issues in Android Apps
Android apps are event-driven, and their execution is often interrupted ...
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09/14/2022
Analysis of Quantization on MLP-based Vision Models
Quantization is wildly taken as a model compression technique, which obt...
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06/20/2022
Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data
Domain adaptive text classification is a challenging problem for the lar...
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06/14/2022
Semi-signed neural fitting for surface reconstruction from unoriented point clouds
Reconstructing 3D geometry from unoriented point clouds can benefit many...
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03/29/2022
3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow
Reconstructing 3D shape from a single 2D image is a challenging task, wh...
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11/23/2021
MFM-Net: Unpaired Shape Completion Network with Multi-stage Feature Matching
Unpaired 3D object completion aims to predict a complete 3D shape from a...
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09/20/2021
PC2-PU: Patch Correlation and Position Correction for Effective Point Cloud Upsampling
Point cloud upsampling is to densify a sparse point set acquired from 3D...
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09/06/2021
Finding Counterexamples of Temporal Logic properties in Software Implementations via Greybox Fuzzing
Software model checking is a verification technique which is widely used...
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09/01/2021
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors
In this paper, we propose a novel local descriptor-based framework, call...
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08/12/2021
AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds
This paper presents a neural network for robust normal estimation on poi...
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04/26/2021
HAO: Hardware-aware neural Architecture Optimization for Efficient Inference
Automatic algorithm-hardware co-design for DNN has shown great success i...
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03/25/2021
A Survey of Quantization Methods for Efficient Neural Network Inference
As soon as abstract mathematical computations were adapted to computatio...
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03/01/2021
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching
Accurately describing and detecting 2D and 3D keypoints is crucial to es...
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01/22/2021
Hessian-Aware Pruning and Optimal Neural Implant
Pruning is an effective method to reduce the memory footprint and FLOPs ...
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12/05/2020
Cross-Domain Sentiment Classification with In-Domain Contrastive Learning
Contrastive learning (CL) has been successful as a powerful representati...
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11/30/2020
Learnable Motion Coherence for Correspondence Pruning
Motion coherence is an important clue for distinguishing true correspond...
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11/20/2020
HAWQV3: Dyadic Neural Network Quantization
Quantization is one of the key techniques used to make Neural Networks (...
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10/30/2020
Cross-Domain Sentiment Classification With Contrastive Learning and Mutual Information Maximization
Contrastive learning (CL) has been successful as a powerful representati...
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08/11/2020
Localizing Patch Points From One Exploit
Automatic patch generation can significantly reduce the window of exposu...
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06/12/2020
CoDeNet: Algorithm-hardware Co-design for Deformable Convolution
Deploying deep learning models on embedded systems for computer vision t...
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05/21/2020
Concurrency-related Flaky Test Detection in Android apps
Validation of Android apps via testing is difficult owing to the presenc...
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02/19/2020
Algorithm-hardware Co-design for Deformable Convolution
FPGAs provide a flexible and efficient platform to accelerate rapidly-ch...
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01/01/2020
ZeroQ: A Novel Zero Shot Quantization Framework
Quantization is a promising approach for reducing the inference time and...
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11/10/2019
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
Quantization is an effective method for reducing memory footprint and in...
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09/12/2019
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
Transformer based architectures have become de-facto models used for a r...
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11/05/2018
Joint Point Cloud and Image Based Localization For Efficient Inspection in Mixed Reality
This paper introduces a method of structure inspection using mixed-reali...
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08/12/2018
Iterative Global Similarity Points : A robust coarse-to-fine integration solution for pairwise 3D point cloud registration
In this paper, we propose a coarse-to-fine integration solution inspired...
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03/22/2016