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09/09/2023
Towards Real-World Burst Image Super-Resolution: Benchmark and Method
Despite substantial advances, single-image super-resolution (SISR) is al...
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08/16/2023
DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field
Reconstructing hand-held objects from a single RGB image is an important...
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08/15/2023
CCD-3DR: Consistent Conditioning in Diffusion for Single-Image 3D Reconstruction
In this paper, we present a novel shape reconstruction method leveraging...
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08/11/2023
U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds
In this paper, we propose U-RED, an Unsupervised shape REtrieval and Def...
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08/04/2023
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization
Time series remains one of the most challenging modalities in machine le...
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06/19/2023
WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation
The top-down and bottom-up methods are two mainstreams of referring segm...
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05/28/2023
Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study
Large amounts of incremental learning algorithms have been proposed to a...
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03/25/2023
Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning
Contrastive learning-based video-language representation learning approa...
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03/23/2023
Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation
Interactive segmentation enables users to segment as needed by providing...
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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...
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03/17/2023
DiffusionRet: Generative Text-Video Retrieval with Diffusion Model
Existing text-video retrieval solutions are, in essence, discriminant mo...
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03/13/2023
Parallel Vertex Diffusion for Unified Visual Grounding
Unified visual grounding pursues a simple and generic technical route to...
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02/19/2023
Guided Depth Map Super-resolution: A Survey
Guided depth map super-resolution (GDSR), which aims to reconstruct a hi...
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12/31/2022
Disjoint Masking with Joint Distillation for Efficient Masked Image Modeling
Masked image modeling (MIM) has shown great promise for self-supervised ...
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12/25/2022
Human Health Indicator Prediction from Gait Video
Body Mass Index (BMI), age, height and weight are important indicators o...
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12/15/2022
Proposal Distribution Calibration for Few-Shot Object Detection
Adapting object detectors learned with sufficient supervision to novel c...
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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...
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11/25/2022
ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation
Unsupervised foreground-background segmentation aims at extracting salie...
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11/22/2022
Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation is typically inspired by class a...
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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...
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11/06/2022
Distilling Representations from GAN Generator via Squeeze and Span
In recent years, generative adversarial networks (GANs) have been an act...
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11/05/2022
Local Manifold Augmentation for Multiview Semantic Consistency
Multiview self-supervised representation learning roots in exploring sem...
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11/02/2022
Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning
Contrastive self-supervised learning (CSL) based on instance discriminat...
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10/15/2022
Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning
In this paper, we study the episodic reinforcement learning (RL) probl...
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10/05/2022
Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation
Depth map estimation from images is an important task in robotic systems...
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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 ...
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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...
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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...
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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...
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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...
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06/23/2022
Prototype-Anchored Learning for Learning with Imperfect Annotations
The success of deep neural networks greatly relies on the availability o...
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06/23/2022
Learning Towards the Largest Margins
One of the main challenges for feature representation in deep learning-b...
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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 ...
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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...
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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...
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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...
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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 ...
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03/19/2022
Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation
6D object pose estimation is a fundamental yet challenging problem in co...
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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...
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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...
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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...
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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...
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12/13/2021
Deep Attentional Guided Image Filtering
Guided filter is a fundamental tool in computer vision and computer grap...
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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...
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10/15/2021
Wasserstein Unsupervised Reinforcement Learning
Unsupervised reinforcement learning aims to train agents to learn a hand...
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09/23/2021
Weakly-Supervised Monocular Depth Estimationwith Resolution-Mismatched Data
Depth estimation from a single image is an active research topic in comp...
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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 ...
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07/31/2021
Learning with Noisy Labels via Sparse Regularization
Learning with noisy labels is an important and challenging task for trai...
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06/06/2021
Asymmetric Loss Functions for Learning with Noisy Labels
Robust loss functions are essential for training deep neural networks wi...
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06/02/2021