b'Xiangyang Ji'

research

∙ 05/28/2023

Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study

Large amounts of incremental learning algorithms have been proposed to a...

0 Yiqi Zhong, et al. ∙

research

∙ 03/25/2023

Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning

Contrastive learning-based video-language representation learning approa...

0 Peng Jin, et al. ∙

research

∙ 03/23/2023

Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation

Interactive segmentation enables users to segment as needed by providing...

0 Kehan Li, et al. ∙

research

∙ 03/20/2023

TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization

Recent years have seen the ever-increasing importance of pre-trained mod...

0 Ziquan Liu, et al. ∙

research

∙ 03/17/2023

DiffusionRet: Generative Text-Video Retrieval with Diffusion Model

Existing text-video retrieval solutions are, in essence, discriminant mo...

0 Peng Jin, et al. ∙

research

∙ 03/13/2023

Parallel Vertex Diffusion for Unified Visual Grounding

Unified visual grounding pursues a simple and generic technical route to...

0 Zesen Cheng, et al. ∙

research

∙ 02/19/2023

Guided Depth Map Super-resolution: A Survey

Guided depth map super-resolution (GDSR), which aims to reconstruct a hi...

0 Zhiwei Zhong, et al. ∙

research

∙ 12/31/2022

Disjoint Masking with Joint Distillation for Efficient Masked Image Modeling

Masked image modeling (MIM) has shown great promise for self-supervised ...

0 Xin Ma, et al. ∙

research

∙ 12/25/2022

Human Health Indicator Prediction from Gait Video

Body Mass Index (BMI), age, height and weight are important indicators o...

0 Ziqing Li, et al. ∙

research

∙ 12/15/2022

Proposal Distribution Calibration for Few-Shot Object Detection

Adapting object detectors learned with sufficient supervision to novel c...

0 Bohao Li, et al. ∙

research

∙ 12/13/2022

SST: Real-time End-to-end Monocular 3D Reconstruction via Sparse Spatial-Temporal Guidance

Real-time monocular 3D reconstruction is a challenging problem that rema...

0 Chenyangguang Zhang, et al. ∙

research

∙ 11/25/2022

ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation

Unsupervised foreground-background segmentation aims at extracting salie...

0 Qiran Zou, et al. ∙

research

∙ 11/22/2022

Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation

Weakly supervised semantic segmentation is typically inspired by class a...

0 Zesen Cheng, et al. ∙

research

∙ 11/06/2022

Learning to Annotate Part Segmentation with Gradient Matching

The success of state-of-the-art deep neural networks heavily relies on t...

0 Yu Yang, et al. ∙

research

∙ 11/06/2022

Distilling Representations from GAN Generator via Squeeze and Span

In recent years, generative adversarial networks (GANs) have been an act...

0 Yu Yang, et al. ∙

research

∙ 11/05/2022

Local Manifold Augmentation for Multiview Semantic Consistency

Multiview self-supervised representation learning roots in exploring sem...

0 Yu Yang, et al. ∙

research

∙ 11/02/2022

Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning

Contrastive self-supervised learning (CSL) based on instance discriminat...

0 Yifei Zhang, et al. ∙

research

∙ 10/15/2022

Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning

In this paper, we study the episodic reinforcement learning (RL) probl...

0 Zihan Zhang, et al. ∙

research

∙ 10/05/2022

Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation

Depth map estimation from images is an important task in robotic systems...

0 Jialei Xu, et al. ∙

research

∙ 09/11/2022

Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression

Lossless and near-lossless image compression is of paramount importance ...

0 Yuanchao Bai, et al. ∙

research

∙ 08/27/2022

6D Robotic Assembly Based on RGB-only Object Pose Estimation

Vision-based robotic assembly is a crucial yet challenging task as the i...

3 Bowen Fu, et al. ∙

research

∙ 08/13/2022

SSP-Pose: Symmetry-Aware Shape Prior Deformation for Direct Category-Level Object Pose Estimation

Category-level pose estimation is a challenging problem due to intra-cla...

3 Ruida Zhang, et al. ∙

research

∙ 07/30/2022

RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation

Category-level object pose estimation aims to predict the 6D pose as wel...

0 Ruida Zhang, et al. ∙

research

∙ 07/17/2022

CATRE: Iterative Point Clouds Alignment for Category-level Object Pose Refinement

While category-level 9DoF object pose estimation has emerged recently, p...

0 Xingyu Liu, et al. ∙

research

∙ 06/23/2022

Prototype-Anchored Learning for Learning with Imperfect Annotations

The success of deep neural networks greatly relies on the availability o...

0 Xiong Zhou, et al. ∙

research

∙ 06/23/2022

Learning Towards the Largest Margins

One of the main challenges for feature representation in deep learning-b...

0 Xiong Zhou, et al. ∙

research

∙ 05/19/2022

Integral Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection

Modern object detectors have taken the advantages of pre-trained vision ...

0 Xiaosong Zhang, et al. ∙

research

∙ 05/08/2022

Zero and R2D2: A Large-scale Chinese Cross-modal Benchmark and A Vision-Language Framework

Vision-language pre-training (VLP) relying on large-scale pre-training d...

0 Chunyu Xie, et al. ∙

research

∙ 04/24/2022

PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI

Compressed Sensing MRI (CS-MRI) aims at reconstructing de-aliased images...

12 Jingfen Xie, et al. ∙

research

∙ 04/18/2022

Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation

Point clouds upsampling is a challenging issue to generate dense and uni...

0 Wenbo Zhao, et al. ∙

research

∙ 03/24/2022

Horizon-Free Reinforcement Learning in Polynomial Time: the Power of Stationary Policies

This paper gives the first polynomial-time algorithm for tabular Markov ...

0 Zihan Zhang, et al. ∙

research

∙ 03/19/2022

Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation

6D object pose estimation is a fundamental yet challenging problem in co...

0 Gu Wang, et al. ∙

research

∙ 03/15/2022

GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting

While 6D object pose estimation has recently made a huge leap forward, m...

0 Yan Di, et al. ∙

research

∙ 03/08/2022

Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon

Estimating the risk level of adversarial examples is essential for safel...

1 Yiqi Zhong, et al. ∙

research

∙ 01/24/2022

Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGAN

The semantically disentangled latent subspace in GAN provides rich inter...

9 Bo Li, et al. ∙

research

∙ 12/17/2021

Towards End-to-End Image Compression and Analysis with Transformers

We propose an end-to-end image compression and analysis model with Trans...

17 Yuanchao Bai, et al. ∙

research

∙ 12/13/2021

Deep Attentional Guided Image Filtering

Guided filter is a fundamental tool in computer vision and computer grap...

0 Zhiwei Zhong, et al. ∙

research

∙ 10/15/2021

Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits

We study the optimal batch-regret tradeoff for batch linear contextual b...

5 Zihan Zhang, et al. ∙

research

∙ 10/15/2021

Wasserstein Unsupervised Reinforcement Learning

Unsupervised reinforcement learning aims to train agents to learn a hand...

0 Shuncheng He, et al. ∙

research

∙ 09/23/2021

Weakly-Supervised Monocular Depth Estimationwith Resolution-Mismatched Data

Depth estimation from a single image is an active research topic in comp...

3 Jialei Xu, et al. ∙

research

∙ 08/18/2021

SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation

Directly regressing all 6 degrees-of-freedom (6DoF) for the object pose ...

0 Yan Di, et al. ∙

research

∙ 07/31/2021

Learning with Noisy Labels via Sparse Regularization

Learning with noisy labels is an important and challenging task for trai...

0 Xiong Zhou, et al. ∙

research

∙ 06/06/2021

Asymmetric Loss Functions for Learning with Noisy Labels

Robust loss functions are essential for training deep neural networks wi...

0 Xiong Zhou, et al. ∙

research

∙ 06/02/2021

TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classication

Multiple instance learning (MIL) is a powerful tool to solve the weakly ...

0 Zhuchen Shao, et al. ∙

research

∙ 06/01/2021

Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation

Encouraging progress in few-shot semantic segmentation has been made by ...

0 Binghao Liu, et al. ∙

research

∙ 04/06/2021

Multiple instance active learning for object detection

Despite the substantial progress of active learning for image recognitio...

18 Tianning Yuan, et al. ∙

research

∙ 04/04/2021

High-resolution Depth Maps Imaging via Attention-based Hierarchical Multi-modal Fusion

Depth map records distance between the viewpoint and objects in the scen...

0 Zhiwei Zhong, et al. ∙

research

∙ 04/01/2021

Unsupervised Foreground-Background Segmentation with Equivariant Layered GANs

We propose an unsupervised foreground-background segmentation method via...

0 Yu Yang, et al. ∙

research

∙ 03/31/2021

Learning Scalable ℓ_∞-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression

We propose a novel joint lossy image and residual compression framework ...

0 Yuanchao Bai, et al. ∙

research

∙ 02/24/2021

Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning

Reward decomposition is a critical problem in centralized training with ...

0 Jianzhun Shao, et al. ∙

Xiangyang Ji

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