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08/23/2023
A Scale-Invariant Task Balancing Approach for Multi-Task Learning
Multi-task learning (MTL), a learning paradigm to learn multiple related...
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07/17/2023
Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation
Conditional diffusion models have demonstrated impressive performance in...
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07/01/2023
Codes with Biochemical Constraints and Single Error Correction for DNA-Based Data Storage
In DNA-based data storage, DNA codes with biochemical constraints and er...
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06/27/2023
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation-Extended Abstract
Few-shot semantic segmentation (FSS) aims to form class-agnostic models ...
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06/05/2023
Explicit Construction of q-ary 2-deletion Correcting Codes with Low Redundancy
We consider the problem of efficient construction of q-ary 2-deletion co...
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05/31/2023
Parameterized Wasserstein Hamiltonian Flow
In this work, we propose a numerical method to compute the Wasserstein H...
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03/29/2023
Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields
Synthesizing photo-realistic images from a point cloud is challenging be...
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03/26/2023
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
Few-shot semantic segmentation (FSS) aims to form class-agnostic models ...
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03/21/2023
Learning Context-aware Classifier for Semantic Segmentation
Semantic segmentation is still a challenging task for parsing diverse co...
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03/20/2023
Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection
Neural implicit surface learning has shown significant progress in multi...
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02/06/2023
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need
The core of out-of-distribution (OOD) detection is to learn the in-distr...
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12/04/2022
Lightweight Facial Attractiveness Prediction Using Dual Label Distribution
Facial attractiveness prediction (FAP) aims to assess the facial attract...
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11/12/2022
A Lower Bound on the List-Decodability of Insdel Codes
For codes equipped with metrics such as Hamming metric, symbol pair metr...
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09/26/2022
Generalized Parametric Contrastive Learning
In this paper, we propose the Generalized Parametric Contrastive Learnin...
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09/12/2022
Optimal control for stochastic nonlinear Schrodinger equation on graph
We study the optimal control formulation for stochastic nonlinear Schrod...
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08/30/2022
A new construction of nonlinear codes via algebraic function fields
In coding theory, constructing codes with good parameters is one of the ...
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08/09/2022
Good locally repairable codes via propagation rules
In classical coding theory, it is common to construct new codes via prop...
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07/20/2022
DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation
Unsupervised domain adaptation in semantic segmentation has been raised ...
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07/20/2022
Improving Data Driven Inverse Text Normalization using Data Augmentation
Inverse text normalization (ITN) is used to convert the spoken form outp...
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07/12/2022
Upper bounds on maximum lengths of Singleton-optimal locally repairable codes
A locally repairable code is called Singleton-optimal if it achieves the...
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06/02/2022
EfficientNeRF: Efficient Neural Radiance Fields
Neural Radiance Fields (NeRF) has been wildly applied to various tasks f...
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04/06/2022
DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors
Camera-based 3D object detectors are welcome due to their wider deployme...
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03/28/2022
Stratified Transformer for 3D Point Cloud Segmentation
3D point cloud segmentation has made tremendous progress in recent years...
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03/02/2022
SEA: Bridging the Gap Between One- and Two-stage Detector Distillation via SEmantic-aware Alignment
We revisit the one- and two-stage detector distillation tasks and presen...
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11/28/2021
Bounds and Constructions for Insertion and Deletion Codes
The present paper mainly studies limits and constructions of insertion a...
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11/05/2021
Maximally recoverable local reconstruction codes from subspace direct sum systems
Maximally recoverable local reconstruction codes (MR LRCs for short) hav...
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10/15/2021
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation
Rapid progress in 3D semantic segmentation is inseparable from the advan...
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09/27/2021
Deep Structured Instance Graph for Distilling Object Detectors
Effectively structuring deep knowledge plays a pivotal role in transfer ...
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08/30/2021
Exploring and Improving Mobile Level Vision Transformers
We study the vision transformer structure in the mobile level in this pa...
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07/26/2021
Parametric Contrastive Learning
In this paper, we propose Parametric Contrastive Learning (PaCo) to tack...
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07/26/2021
HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration
Point cloud registration is a fundamental problem in 3D computer vision....
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06/27/2021
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency
Semantic segmentation has made tremendous progress in recent years. Howe...
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06/07/2021
Scalable Computation of Monge Maps with General Costs
Monge map refers to the optimal transport map between two probability di...
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04/19/2021
Distilling Knowledge via Knowledge Review
Knowledge distillation transfers knowledge from the teacher network to t...
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04/01/2021
Improving Calibration for Long-Tailed Recognition
Deep neural networks may perform poorly when training datasets are heavi...
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04/01/2021
Jigsaw Clustering for Unsupervised Visual Representation Learning
Unsupervised representation learning with contrastive learning achieved ...
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03/25/2021
Video Instance Segmentation with a Propose-Reduce Paradigm
Video instance segmentation (VIS) aims to segment and associate all inst...
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02/05/2021
Learning High Dimensional Wasserstein Geodesics
We propose a new formulation and learning strategy for computing the Was...
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01/26/2021
ResLT: Residual Learning for Long-tailed Recognition
Deep learning algorithms face great challenges with long-tailed data dis...
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11/23/2020
Learnable Boundary Guided Adversarial Training
Previous adversarial training raises model robustness under the compromi...
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04/14/2020
Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural Networks
Target-Based Sentiment Analysis aims to detect the opinion aspects (aspe...
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04/03/2020
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
Instance segmentation is an important task for scene understanding. Comp...
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02/24/2020
3DSSD: Point-based 3D Single Stage Object Detector
Currently, there have been many kinds of voxel-based 3D single stage det...
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02/10/2020
Learning Stochastic Behaviour of Aggregate Data
Learning nonlinear dynamics of aggregate data is a challenging problem s...
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01/10/2020
DSGN: Deep Stereo Geometry Network for 3D Object Detection
Most state-of-the-art 3D object detectors heavily rely on LiDAR sensors ...
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12/04/2019
EmbedMask: Embedding Coupling for One-stage Instance Segmentation
Current instance segmentation methods can be categorized into segmentati...
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09/23/2019
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
We achieve 3D semantic scene labeling by exploring semantic relation bet...
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09/09/2019
Driver Identification via the Steering Wheel
Driver identification has emerged as a vital research field, where both ...
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09/08/2019
Explicit Constructions of Two-Dimensional Reed-Solomon Codes in High Insertion and Deletion Noise Regime
Insertion and deletion (insdel for short) errors are synchronization err...
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08/28/2019