research
∙
06/26/2023
Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection
Video anomaly detection under weak supervision is challenging due to the...
share
research
∙
05/22/2023
Mist: Towards Improved Adversarial Examples for Diffusion Models
Diffusion Models (DMs) have empowered great success in artificial-intell...
research
∙
02/09/2023
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
Diffusion Models (DMs) achieve state-of-the-art performance in generativ...
research
∙
12/06/2022
Improved Approximation Schemes for (Un-)Bounded Subset-Sum and Partition
We consider the SUBSET SUM problem and its important variants in this pa...
research
∙
10/17/2022
Temporal and Contextual Transformer for Multi-Camera Editing of TV Shows
The ability to choose an appropriate camera view among multiple cameras ...
research
∙
08/11/2022
Locality-aware Attention Network with Discriminative Dynamics Learning for Weakly Supervised Anomaly Detection
Video anomaly detection is recently formulated as a multiple instance le...
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...
research
∙
04/23/2022
Approximation Algorithms for Interdiction Problem with Packing Constraints
We study a bilevel optimization problem which is a zero-sum Stackelberg ...
research
∙
05/10/2020