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[ICRA 2024] Articulated Object Manipulation with Coarse-to-fine Affordance for Mitigating the Effect of Point Cloud Noise
To tackle this challenge, we leverage the property of real-world scanned point cloud that, the point cloud becomes less noisy when the camera is closer to the object.
Mar 28 / 2024 -
[ICRA 2024] RGBManip: Monocular Image-based Robotic Manipulation through Active Object Pose Estimation
We propose an image-only robotic manipulation framework that leverages an eye-on-hand monocular camera installed on the robot's parallel gripper.
Mar 15 / 2024 -
[ICRA 2024] Discuss Before Moving: Visual Language Navigation via Multi-expert Discussions
In this work, drawing inspiration from the expert consultation meeting, we introduce a novel zero-shot VLN framework.
Mar 13 / 2024 -
[TheWebConf 2024 Oral] Budget-Constrained Auctions with Unassured Priors: Strategic Equivalence and Structural Properties
Our main result shows that the Bayesian revenue-optimal mechanism and the budget-extracting bid-discount first-price mechanism yield the same set of Nash equilibrium outcomes in the unassured prior game.
Mar 12 / 2024 -
[Computer Science Review 2024] A survey on algorithms for Nash equilibria in finite normal-form games
This paper reviews various algorithms computing the Nash equilibrium and its approximation solutions in finite normal-form games from both theoretical and empirical perspectives.
Mar 11 / 2024 -
[AAAI 2024] Dynamic Budget Throttling in Repeated Second-Price Auctions
This paper provides a theoretical panorama of a single advertiser's dynamic budget throttling process in repeated second-price auctions.
Mar 09 / 2024 -
[ICRA 2024] GAMMA: Graspability-Aware Mobile MAnipulation Policy Learning based on Online Grasping Pose Fusion
In this work, we propose a graspability-aware mobile manipulation approach powered by an online grasping pose fusion framework that enables a temporally consistent grasping observation.
Mar 08 / 2024 -
[AAAI 2024] Competition among Pairwise Lottery Contests
We investigate a two-stage competitive model involving multiple contests.
Mar 06 / 2024 -
[DAC 2024] SpacePulse: Combining Parameterized Pulses and Contextual Subspace for More Practical VQE
In this paper, we explore the integration of parameterized quantum pulses with the contextual subspace method.
Mar 04 / 2024 -
[ICRA 2024] Bridging Zero-shot Object Navigation and Foundation Models through Pixel-Guided Navigation Skill
In this work, we propose a Pixel-guided Navigation skill (PixNav), which bridges the gap between the foundation models and the embodied navigation task.
Feb 29 / 2024 -
[ICLR 2024] Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss
In this paper, we conduct a systematic study for quantum algorithms and lower bounds for minimizing the maximum of N convex, Lipschitz functions.
Feb 23 / 2024 -
Welcome Dr. Ruosong Wang to Join CFCS, Peking University
Welcome Dr. Ruosong Wang to join CFCS, Peking University as an assistant professor in January 2024.
Jan 10 / 2024 -
[NeurIPS 2023] Calibrating "Cheap Signals" in Peer Review without a Prior
Unlike previous works relying on prior knowledge or historical data, we propose a one-shot noise calibration process without any prior information.
Dec 13 / 2023 -
[NeurIPS 2023] ChimpACT: A Longitudinal Dataset for Understanding Chimpanzee Behaviors
Our experiments reveal that ChimpACT offers ample opportunities for both devising new methods and adapting existing ones to solve fundamental computer vision tasks applied to chimpanzee groups.
Dec 12 / 2023 -
[NeurIPS 2023] GenPose: Generative Category-level Object Pose Estimation via Diffusion Models
In this study, we propose a novel solution by reframing categorylevel object pose estimation as conditional generative modeling, departing from traditional point-to-point regression.
Dec 11 / 2023 -
[NeurIPS 2023] Causal Discovery from Subsampled Time Series with Proxy Variable
In this paper, we propose a constraint-based algorithm that can identify the entire causal structure from subsampled time series, without any parametric constraint.
Dec 08 / 2023 -
[NeurIPS 2023] GraspGF: Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping
In this paper, we propose a novel task called human-assisting dexterous grasping that aims to train a policy for controlling a robotic hand's fingers to assist users in grasping objects.
Nov 30 / 2023 -
[TPAMI 2023] Human Motion Generation: A Survey
In this survey, we present a comprehensive literature review of human motion generation, which, to the best of our knowledge, is the first of its kind in this field.
Nov 15 / 2023 -
[NeurIPS 2023] Social Motion Prediction with Cognitive Hierarchies
Humans exhibit a remarkable capacity for anticipating the actions of others and planning their own actions accordingly. In this study, we strive to replicate this ability by addressing the social motion prediction problem.
Nov 14 / 2023 -
[NeurIPS 2023 Spotlight] A Scalable Neural Network for DSIC Affine Maximizer Auction Design
Overall, our proposed approach offers an effective solution to automated DSIC auction design, with improved scalability and strong revenue performance in various settings.
Nov 11 / 2023