18 accepted papers
Learning discriminative state representations of agents, encompassing the spatial layout and temporal pose trajectory, is essential for effective navigation decisions. However, existing approaches often rely on simplistic plain networks for navigation information fusion, overlooking the complex long…
With the exponential growth of video content, aiming at localizing relevant video moments based on natural language queries, video moment retrieval (VMR) has gained significant attention. Existing weakly supervised VMR methods focus on designing various feature modeling and modal interaction modules…
Quantum noise constitutes a fundamental obstacle to realizing practical quantum technologies. To address the pivotal challenge of identifying quantum systems least affected by noise, we introduce the purest quantum state identification, which can be used to improve the accuracy of quantum computatio…
Existing infrared and visible image fusion methods often face the dilemma of balancing modal information. Generative fusion methods reconstruct fused images by learning from data distributions, but their generative capabilities remain limited. Moreover, the lack of interpretability in modal informat…
Multi-armed bandit is a simple but powerful algorithmic framework, and many effective algorithms have been proposed for various online models. In numerous applications, the decision-maker faces diminishing marginal utility. With non-linear aggregations, those algorithms often have poor regret bound…
Since the goals of both Moment Retrieval (MR) and Highlight Detection (HD) are to quickly obtain the required content from the video according to user needs, several works have attempted to take advantage of the commonality between both tasks to design transformer-based networks for joint MR and HD.…
Effectively modeling the interactions among actors is critical and challenging for Group Activity Recognition (GAR). Previous methods usually divide actors into subgroups based on the similarity of appearance features for modeling multilevel interactions among actors. However, the appearance feature…
Video moment retrieval (MR) and highlight detection (HD) based on natural language queries are two highly related tasks, which aim to obtain relevant moments within videos and highlight scores of each video clip. Recently, several methods have been devoted to building DETR-based networks to solve bo…
For two-stage knowledge distillation, the combination with Data Augmentation (DA) is straightforward and effective. Yet, for online Self-knowledge Distillation (SD), DA is not always beneficial because of the absence of a trustworthy teacher model. To address this issue, this paper proposes an SD me…
Acquiring contact patterns between hands and nonrigid objects is a common concern in the vision and robotics community. However, existing learning-based methods focus more on contact with rigid ones from monocular images. When adopting them for nonrigid contact, a major problem is that the existing…
Reconstructing interacting hands from monocular images is indispensable in AR/VR applications. Most existing solutions rely on the accurate localization of each skeleton joint. However, these methods tend to be unreliable due to the severe occlusion and confusing similarity among adjacent hand parts…
This letter addresses the problem of designing an interception strategy for an underactuated uncrewed surface vessel (USV) in the presence of uncertain external disturbances and unknown internal parameters i.e., linear and nonlinear damping coefficients, vehicle mass, etc. The interception strategy
This letter addresses the robust trajectory tracking problem for a Quadrotor-Slung-Load System (QSLS), which consists of a point-mass load and a rigid-body quadrotor connected by an inelastic cable. To construct the controller, we employ the backstepping technique and propose an Uncertainty and Dist
This paper addresses the flexible formation problem for unmanned surface vehicles in the presence of obstacles. Building upon the leader-follower formation scheme, a hybrid line-of-sight based flexible platooning method is proposed for follower vehicle to keep tracking the leader ship. A fusion arti…
Physical contact provides additional constraints for hand-object state reconstruction as well as a basis for further understanding of interaction affordances. Estimating these severely occluded regions from monocular images presents a considerable challenge. Existing methods optimize the hand-object…
Because of the ambiguous definition of anomaly and the complexity of real data, anomaly detection in videos is one of the most challenging problems in intelligent video surveillance. Since the abnormal events are usually different from normal events in appearance and/or in motion behavior, we addres…
Deep learning based approaches have greatly improved the performance of spoken keyword spotting (KWS). However, KWS of different languages should have their own corresponding modeling units to optimize the performance. In this paper, we propose an end-to-end Mandarin KWS system using Convolutional R…
In this paper, two novel robust widely linear beamforming algorithms based on the technique of shrinkage are proposed, i.e., the WL-RBLW and the WL-OAS. Firstly, in order to remove the signal-of-interest's (SOl's) component from the sample covariance matrix (SCM), the augmented interference-plus-noi…