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08/31/2023
3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Referring Expression Segmentation
In 3D Referring Expression Segmentation (3D-RES), the earlier approach a...
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08/31/2023
Domain Adaptive Synapse Detection with Weak Point Annotations
The development of learning-based methods has greatly improved the detec...
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08/21/2023
Dynamic Strategy Chain: Dynamic Zero-Shot CoT for Long Mental Health Support Generation
Long counseling Text Generation for Mental health support (LTGM), an inn...
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08/19/2023
Learning Multiscale Consistency for Self-supervised Electron Microscopy Instance Segmentation
Instance segmentation in electron microscopy (EM) volumes poses a signif...
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08/04/2023
Chinese Financial Text Emotion Mining: GCGTS – A Character Relationship-based Approach for Simultaneous Aspect-Opinion Pair Extraction
Aspect-Opinion Pair Extraction (AOPE) from Chinese financial texts is a ...
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07/02/2023
End-to-End Out-of-distribution Detection with Self-supervised Sampling
Out-of-distribution (OOD) detection empowers the model trained on the cl...
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06/29/2023
Matroidal Entropy Functions: Constructions, Characterizations and Representations
In this paper, we characterize matroidal entropy functions, i.e., entrop...
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06/08/2023
Improving Negative-Prompt Inversion via Proximal Guidance
DDIM inversion has revealed the remarkable potential of real image editi...
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05/10/2023
Entropy Functions on Two-Dimensional Faces of Polymatroidal Region of Degree Four
In this paper, we characterize entropy functions on the 2-dimensional fa...
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04/04/2023
Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation
We use information-theoretic tools to derive a novel analysis of Multi-s...
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03/17/2023
IRGen: Generative Modeling for Image Retrieval
While generative modeling has been ubiquitous in natural language proces...
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03/09/2023
Improving Few-Shot Learning for Talking Face System with TTS Data Augmentation
Audio-driven talking face has attracted broad interest from academia and...
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03/03/2023
AutoMatch: A Large-scale Audio Beat Matching Benchmark for Boosting Deep Learning Assistant Video Editing
The explosion of short videos has dramatically reshaped the manners peop...
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02/25/2023
SUPS: A Simulated Underground Parking Scenario Dataset for Autonomous Driving
Automatic underground parking has attracted considerable attention as th...
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02/09/2023
Gaussian Mask Convolution for Convolutional Neural Networks
Square convolution is a default unit in convolutional neural networks as...
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02/07/2023
LUT-NN: Towards Unified Neural Network Inference by Table Lookup
DNN inference requires huge effort of system development and resource co...
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01/30/2023
Online Loss Function Learning
Loss function learning is a new meta-learning paradigm that aims to auto...
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11/11/2022
StrokeGAN+: Few-Shot Semi-Supervised Chinese Font Generation with Stroke Encoding
The generation of Chinese fonts has a wide range of applications. The cu...
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10/19/2022
On Learning Fairness and Accuracy on Multiple Subgroups
We propose an analysis in fair learning that preserves the utility of th...
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10/14/2022
Pareto-aware Neural Architecture Generation for Diverse Computational Budgets
Designing feasible and effective architectures under diverse computation...
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09/19/2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
In this paper, we develop upon the emerging topic of loss function learn...
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07/16/2022
Towards Lightweight Super-Resolution with Dual Regression Learning
Deep neural networks have exhibited remarkable performance in image supe...
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06/29/2022
Optimization-Induced Graph Implicit Nonlinear Diffusion
Due to the over-smoothing issue, most existing graph neural networks can...
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06/06/2022
A Neural Corpus Indexer for Document Retrieval
Current state-of-the-art document retrieval solutions mainly follow an i...
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05/26/2022
Fair Representation Learning through Implicit Path Alignment
We consider a fair representation learning perspective, where optimal pr...
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05/08/2022
Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search
Despite the broad range of algorithms for Approximate Nearest Neighbor S...
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04/19/2022
Proposal-free Lidar Panoptic Segmentation with Pillar-level Affinity
We propose a simple yet effective proposal-free architecture for lidar p...
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04/01/2022
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings
Vector quantization (VQ) based ANN indexes, such as Inverted File System...
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03/06/2022
Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation
Weakly Supervised Semantic Segmentation (WSSS) based on image-level labe...
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11/25/2021
V2C: Visual Voice Cloning
Existing Voice Cloning (VC) tasks aim to convert a paragraph text to a s...
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11/17/2021
TraSw: Tracklet-Switch Adversarial Attacks against Multi-Object Tracking
Benefiting from the development of Deep Neural Networks, Multi-Object Tr...
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11/05/2021
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search
The in-memory algorithms for approximate nearest neighbor search (ANNS) ...
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09/29/2021
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis
We derive a novel information-theoretic analysis of the generalization p...
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06/14/2021
PolarStream: Streaming Lidar Object Detection and Segmentation with Polar Pillars
Recent works recognized lidars as an inherently streaming data source an...
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03/08/2021
Contrastive Neural Architecture Search with Neural Architecture Comparators
One of the key steps in Neural Architecture Search (NAS) is to estimate ...
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02/27/2021
Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets
Designing feasible and effective architectures under diverse computation...
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02/20/2021
Towards Accurate and Compact Architectures via Neural Architecture Transformer
Designing effective architectures is one of the key factors behind the s...
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12/16/2020
StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding
The generation of stylish Chinese fonts is an important problem involved...
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09/24/2020
CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles
To reduce the amount of transmitted data, feature map based fusion is re...
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07/30/2020
Beyond ℋ-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence
We reveal the incoherence between the widely-adopted empirical domain ad...
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07/10/2020
BISON:BM25-weighted Self-Attention Framework for Multi-Fields Document Search
Recent breakthrough in natural language processing has advanced the info...
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07/09/2020
DCANet: Learning Connected Attentions for Convolutional Neural Networks
While self-attention mechanism has shown promising results for many visi...
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05/23/2020
Attention-guided Context Feature Pyramid Network for Object Detection
For object detection, how to address the contradictory requirement betwe...
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03/31/2020
A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays
Recently, deep neural networks (DNNs) have made great progress on automa...
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03/16/2020
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
Deep neural networks have exhibited promising performance in image super...
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03/01/2020
Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only
Home design is a complex task that normally requires architects to finis...
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12/30/2019
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots
Accurate 3D object detection in LiDAR based point clouds suffers from th...
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12/02/2019
Low-Latency High-Level Data Sharing for Connected and Autonomous Vehicular Networks
Autonomous vehicles can combine their own data with that of other vehicl...
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10/31/2019
NAT: Neural Architecture Transformer for Accurate and Compact Architectures
Designing effective architectures is one of the key factors behind the s...
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10/19/2019