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09/12/2023
How does representation impact in-context learning: A exploration on a synthetic task
In-context learning, i.e., learning from in-context samples, is an impre...
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09/10/2023
Generalization error bounds for iterative learning algorithms with bounded updates
This paper explores the generalization characteristics of iterative lear...
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09/07/2023
InteractionNet: Joint Planning and Prediction for Autonomous Driving with Transformers
Planning and prediction are two important modules of autonomous driving ...
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08/29/2023
Complementing Onboard Sensors with Satellite Map: A New Perspective for HD Map Construction
High-Definition (HD) maps play a crucial role in autonomous driving syst...
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07/27/2023
FS-Depth: Focal-and-Scale Depth Estimation from a Single Image in Unseen Indoor Scene
It has long been an ill-posed problem to predict absolute depth maps fro...
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07/18/2023
MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection
In this paper, we propose a novel and effective Multi-Level Fusion netwo...
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05/29/2023
Vector-based Representation is the Key: A Study on Disentanglement and Compositional Generalization
Recognizing elementary underlying concepts from observations (disentangl...
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05/23/2023
Skill-Based Few-Shot Selection for In-Context Learning
In-Context learning is the paradigm that adapts large language models to...
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05/08/2023
How Do In-Context Examples Affect Compositional Generalization?
Compositional generalization–understanding unseen combinations of seen p...
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04/27/2023
Quadric Representations for LiDAR Odometry, Mapping and Localization
Current LiDAR odometry, mapping and localization methods leverage point-...
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04/25/2023
MMRDN: Consistent Representation for Multi-View Manipulation Relationship Detection in Object-Stacked Scenes
Manipulation relationship detection (MRD) aims to guide the robot to gra...
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04/25/2023
Learning Trajectories are Generalization Indicators
The aim of this paper is to investigate the connection between learning ...
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04/06/2023
VPFusion: Towards Robust Vertical Representation Learning for 3D Object Detection
Efficient point cloud representation is a fundamental element of Lidar-b...
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03/14/2023
Prioritized Planning for Target-Oriented Manipulation via Hierarchical Stacking Relationship Prediction
In scenarios involving the grasping of multiple targets, the learning of...
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03/02/2023
MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering
Recently, finetuning pretrained vision-language models (VLMs) has become...
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02/25/2023
BrainCLIP: Bridging Brain and Visual-Linguistic Representation via CLIP for Generic Natural Visual Stimulus Decoding from fMRI
Reconstructing perceived natural images or decoding their categories fro...
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02/23/2023
Does Deep Learning Learn to Abstract? A Systematic Probing Framework
Abstraction is a desirable capability for deep learning models, which me...
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01/31/2023
DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
In this paper, targeting to understand the underlying explainable factor...
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01/21/2023
CoBigICP: Robust and Precise Point Set Registration using Correntropy Metrics and Bidirectional Correspondence
In this paper, we propose a novel probabilistic variant of iterative clo...
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12/13/2022
Object-fabrication Targeted Attack for Object Detection
Recent researches show that the deep learning based object detection is ...
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12/02/2022
StructVPR: Distill Structural Knowledge with Weighting Samples for Visual Place Recognition
Visual place recognition (VPR) is usually considered as a specific image...
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11/03/2022
Could Giant Pretrained Image Models Extract Universal Representations?
Frozen pretrained models have become a viable alternative to the pretrai...
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10/10/2022
Using Detection, Tracking and Prediction in Visual SLAM to Achieve Real-time Semantic Mapping of Dynamic Scenarios
In this paper, we propose a lightweight system, RDS-SLAM, based on ORB-S...
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09/14/2022
Finetuning Pretrained Vision-Language Models with Correlation Information Bottleneck for Robust Visual Question Answering
Benefiting from large-scale Pretrained Vision-Language Models (VL-PMs), ...
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06/23/2022
Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization
The main challenge of Temporal Action Localization is to retrieve subtle...
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05/26/2022
Social Interpretable Tree for Pedestrian Trajectory Prediction
Understanding the multiple socially-acceptable future behaviors is an es...
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05/20/2022
Test-time Batch Normalization
Deep neural networks often suffer the data distribution shift between tr...
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05/20/2022
Visual Concepts Tokenization
Obtaining the human-like perception ability of abstracting visual concep...
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03/07/2022
Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models
Recently the prompt-tuning paradigm has attracted significant attention....
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02/03/2022
Trajectory Forecasting from Detection with Uncertainty-Aware Motion Encoding
Trajectory forecasting is critical for autonomous platforms to make safe...
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11/29/2021
LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering
Video Question Answering (VideoQA), aiming to correctly answer the given...
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11/07/2021
Multi-Scale Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition
Skeleton data is of low dimension. However, there is a trend of using ve...
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10/25/2021
Instance-Conditional Knowledge Distillation for Object Detection
Despite the success of Knowledge Distillation (KD) on image classificati...
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10/14/2021
Improved Drug-target Interaction Prediction with Intermolecular Graph Transformer
The identification of active binding drugs for target proteins (termed a...
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09/23/2021
LGD: Label-guided Self-distillation for Object Detection
In this paper, we propose the first self-distillation framework for gene...
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08/25/2021
Model-based Decision Making with Imagination for Autonomous Parking
Autonomous parking technology is a key concept within autonomous driving...
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08/25/2021
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter
This paper presents INVIGORATE, a robot system that interacts with human...
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07/31/2021
Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction
Understanding complex social interactions among agents is a key challeng...
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07/27/2021
Enriching Local and Global Contexts for Temporal Action Localization
Effectively tackling the problem of temporal action localization (TAL) n...
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07/14/2021
Probabilistic Human Motion Prediction via A Bayesian Neural Network
Human motion prediction is an important and challenging topic that has p...
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07/14/2021
Learning Algebraic Recombination for Compositional Generalization
Neural sequence models exhibit limited compositional generalization abil...
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06/07/2021
Adversarial Attack and Defense in Deep Ranking
Deep Neural Network classifiers are vulnerable to adversarial attack, wh...
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06/07/2021
Video Imprint
A new unified video analytics framework (ER3) is proposed for complex ev...
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04/29/2021
REGRAD: A Large-Scale Relational Grasp Dataset for Safe and Object-Specific Robotic Grasping in Clutter
Despite the impressive progress achieved in robust grasp detection, robo...
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03/30/2021
Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context
Weakly-supervised Temporal Action Localization (WS-TAL) methods learn to...
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03/28/2021
ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization
The object of Weakly-supervised Temporal Action Localization (WS-TAL) is...
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03/11/2021
Level-aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement
The key procedure of haze image translation through adversarial training...
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03/09/2021
Practical Relative Order Attack in Deep Ranking
Recent studies unveil the vulnerabilities of deep ranking models, where ...
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02/20/2021
GroupifyVAE: from Group-based Definition to VAE-based Unsupervised Representation Disentanglement
The key idea of the state-of-the-art VAE-based unsupervised representati...
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12/07/2020