b'Jian Sun'

research

∙ 07/14/2022

Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration

Building document-grounded dialogue systems have received growing intere...

Zhenyu Zhang, et al. ∙

research

∙ 07/06/2022

Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection

To date, the most powerful semi-supervised object detectors (SS-OD) are ...

Hongyu Zhou, et al. ∙

research

∙ 06/21/2022

Scaling up Kernels in 3D CNNs

Recent advances in 2D CNNs and vision transformers (ViTs) reveal that la...

Yukang Chen, et al. ∙

research

∙ 06/08/2022

Efficient reversible data hiding via two layers of double-peak embedding

Reversible data hiding continues to attract significant attention in rec...

Fuhu Wu, et al. ∙

research

∙ 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 ...

Yingfei Liu, et al. ∙

research

∙ 06/01/2022

Unifying Voxel-based Representation with Transformer for 3D Object Detection

In this work, we present a unified framework for multi-modality 3D objec...

Yanwei Li, et al. ∙

research

∙ 05/31/2022

Voxel Field Fusion for 3D Object Detection

In this work, we present a conceptually simple yet effective framework f...

Yanwei Li, et al. ∙

research

∙ 05/30/2022

VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis

Differentiable rendering allows the application of computer graphics on ...

Angtian Wang, et al. ∙

research

∙ 05/30/2022

Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems

In this paper, we present Duplex Conversation, a multi-turn, multimodal ...

Ting-En Lin, et al. ∙

research

∙ 05/28/2022

A Closer Look at Self-supervised Lightweight Vision Transformers

Self-supervised learning on large-scale Vision Transformers (ViTs) as pr...

Shaoru Wang, et al. ∙

research

∙ 05/25/2022

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results

This paper reviews the challenge on constrained high dynamic range (HDR)...

Eduardo Pérez-Pellitero, et al. ∙

research

∙ 05/24/2022

A Survey on Neural Open Information Extraction: Current Status and Future Directions

Open Information Extraction (OpenIE) facilitates domain-independent disc...

Shaowen Zhou, et al. ∙

research

∙ 05/19/2022

Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns

Rapid advances in sensor, wireless communication, cloud computing and da...

Tong Nie, et al. ∙

research

∙ 04/26/2022

Focal Sparse Convolutional Networks for 3D Object Detection

Non-uniformed 3D sparse data, e.g., point clouds or voxels in different ...

Yukang Chen, et al. ∙

research

∙ 04/22/2022

Distributed stochastic projection-free solver for constrained optimization

This paper proposes a distributed stochastic projection-free algorithm f...

Xia Jiang, et al. ∙

research

∙ 04/18/2022

BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment

This work addresses the Burst Super-Resolution (BurstSR) task using a ne...

Ziwei Luo, et al. ∙

research

∙ 04/10/2022

Simple Baselines for Image Restoration

Although there have been significant advances in the field of image rest...

Liangyu Chen, et al. ∙

research

∙ 03/23/2022

Real-time Object Detection for Streaming Perception

Autonomous driving requires the model to perceive the environment and (r...

Jinrong Yang, et al. ∙

research

∙ 03/22/2022

Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation

Building models of natural language processing (NLP) is challenging in l...

Yingxiu Zhao, et al. ∙

research

∙ 03/22/2022

Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition

Deep neural networks perform poorly on heavily class-imbalanced datasets...

Zhisheng Zhong, et al. ∙

research

∙ 03/21/2022

A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots

A slot value might be provided segment by segment over multiple-turn int...

Sai Zhang, et al. ∙

research

∙ 03/21/2022

Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation

Sparsely annotated semantic segmentation (SASS) aims to train a segmenta...

Zhiyuan Liang, et al. ∙

research

∙ 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...

Anlin Zheng, et al. ∙

research

∙ 03/14/2022

S^2SQL: Injecting Syntax to Question-Schema Interaction Graph Encoder for Text-to-SQL Parsers

The task of converting a natural language question into an executable SQ...

Binyuan Hui, et al. ∙

research

∙ 03/13/2022

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs

We revisit large kernel design in modern convolutional neural networks (...

Xiaohan Ding, et al. ∙

research

∙ 03/10/2022

PETR: Position Embedding Transformation for Multi-View 3D Object Detection

In this paper, we develop position embedding transformation (PETR) for m...

Yingfei Liu, et al. ∙

research

∙ 01/08/2022

Relieving Long-tailed Instance Segmentation via Pairwise Class Balance

Long-tailed instance segmentation is a challenging task due to the extre...

Yin-Yin He, et al. ∙

research

∙ 12/08/2021

Learning to Select the Next Reasonable Mention for Entity Linking

Entity linking aims to establish a link between entity mentions in a doc...

Jian Sun, et al. ∙

research

∙ 11/29/2021

GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection

Pre-trained models have proved to be powerful in enhancing task-oriented...

Wanwei He, et al. ∙

research

∙ 11/18/2021

SDCUP: Schema Dependency-Enhanced Curriculum Pre-Training for Table Semantic Parsing

Recently pre-training models have significantly improved the performance...

Bowen Qin, et al. ∙

research

∙ 11/06/2021

Distributed stochastic proximal algorithm with random reshuffling for non-smooth finite-sum optimization

The non-smooth finite-sum minimization is a fundamental problem in machi...

Xia Jiang, et al. ∙

research

∙ 10/25/2021

Instance-Conditional Knowledge Distillation for Object Detection

Despite the success of Knowledge Distillation (KD) on image classificati...

Zijian Kang, et al. ∙

research

∙ 09/26/2021

Partial to Whole Knowledge Distillation: Progressive Distilling Decomposed Knowledge Boosts Student Better

Knowledge distillation field delicately designs various types of knowled...

Xuanyang Zhang, et al. ∙

research

∙ 09/23/2021

LGD: Label-guided Self-distillation for Object Detection

In this paper, we propose the first self-distillation framework for gene...

Peizhen Zhang, et al. ∙

research

∙ 09/15/2021

Anchor DETR: Query Design for Transformer-Based Detector

In this paper, we propose a novel query design for the transformer-based...

Yingming Wang, et al. ∙

research

∙ 08/17/2021

Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision

In this paper, we present a conceptually simple, strong, and efficient f...

Yanwei Li, et al. ∙

research

∙ 08/16/2021

Learning Canonical View Representation for 3D Shape Recognition with Arbitrary Views

In this paper, we focus on recognizing 3D shapes from arbitrary views, i...

Xin Wei, et al. ∙

research

∙ 07/26/2021

A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation

Cross-contrast image translation is an important task for completing mis...

Heran Yang, et al. ∙

research

∙ 07/18/2021

YOLOX: Exceeding YOLO Series in 2021

In this report, we present some experienced improvements to YOLO series,...

Zheng Ge, et al. ∙

research

∙ 06/28/2021

Distributed stochastic gradient tracking algorithm with variance reduction for non-convex optimization

This paper proposes a distributed stochastic algorithm with variance red...

Xia Jiang, et al. ∙

research

∙ 06/07/2021

NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results

This paper reviews the NTIRE2021 challenge on burst super-resolution. Gi...

Goutam Bhat, et al. ∙

research

∙ 06/01/2021

Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking

Existing dialog state tracking (DST) models are trained with dialog data...

Yinpei Dai, et al. ∙

research

∙ 05/22/2021

ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging

In this paper, we present an attention-guided deformable convolutional n...

Zhen Liu, et al. ∙

research

∙ 05/20/2021

Generalized Few-Shot Object Detection without Forgetting

Recently few-shot object detection is widely adopted to deal with data-l...

Zhibo Fan, et al. ∙

research

∙ 05/17/2021

Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report

Image denoising is one of the most critical problems in mobile photo pro...

Andrey Ignatov, et al. ∙

research

∙ 04/15/2021

Points as Queries: Weakly Semi-supervised Object Detection by Points

We propose a novel point annotated setting for the weakly semi-supervise...

Liangyu Chen, et al. ∙

research

∙ 04/14/2021

IQDet: Instance-wise Quality Distribution Sampling for Object Detection

We propose a dense object detector with an instance-wise sampling strate...

Yuchen Ma, et al. ∙

research

∙ 04/13/2021

Learning to Jointly Deblur, Demosaick and Denoise Raw Images

We address the problem of non-blind deblurring and demosaicking of noisy...

Thomas Eboli, et al. ∙

research

∙ 03/30/2021

Distribution Alignment: A Unified Framework for Long-tail Visual Recognition

Despite the recent success of deep neural networks, it remains challengi...

Songyang Zhang, et al. ∙

research

∙ 03/26/2021

OTA: Optimal Transport Assignment for Object Detection

Recent advances in label assignment in object detection mainly seek to i...

Zheng Ge, et al. ∙

Jian Sun

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