Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleOctober 2021
Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition
MM '21: Proceedings of the 29th ACM International Conference on MultimediaPages 741–749https://doi.org/10.1145/3474085.3475243Existing few-shot learning (FSL) methods usually assume base classes and novel classes are from the same domain (in-domain setting). However, in practice, it may be infeasible to collect sufficient training samples for some special domains to construct ...
- research-articleOctober 2021
Superevents: Towards Native Semantic Segmentation for Event-based Cameras
ICONS 2021: International Conference on Neuromorphic Systems 2021Article No.: 20, Pages 1–8https://doi.org/10.1145/3477145.3477166Most successful computer vision models transform low-level features, such as Gabor filter responses, into richer representations of intermediate or mid-level complexity for downstream visual tasks. These mid-level representations have not been explored ...
- ArticleJune 2013
Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines
CVPR '13: Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern RecognitionPages 476–483https://doi.org/10.1109/CVPR.2013.68The use of semantic attributes in computer vision problems has been gaining increased popularity in recent years. Attributes provide an intermediate feature representation in between low-level features and the class categories, and offer several ...
- chapterJanuary 2011
Semantic context inference in multimedia search
The future internetJanuary 2011, Pages 391–400Multimedia content is usually complex and may contain many semantically meaningful elements interrelated to each other. Therefore to understand the high-level semantic meanings of the content, such interrelations need to be learned and exploited to ...
- research-articleOctober 2008
The COST292 experimental framework for rushes summarization task in TRECVID 2008
- S. U. Naci,
- Uros Damnjanovic,
- Boris Mansencal,
- Jenny Benois-Pineau,
- Christian Kaes,
- Marzia Corvaglia,
- Eliana Rossi,
- Naiara Aginako
TVS '08: Proceedings of the 2nd ACM TRECVid Video Summarization WorkshopPages 40–44https://doi.org/10.1145/1463563.1463569In this paper, the method used for Rushes Summarization task by the COST 292 consortium is reported. The approach proposed this year differs significantly from the one proposed in the previous years because of the introduction of new processing steps, ...
- research-articleNovember 2014
Fused one-vs-all mid-level features for fine-grained visual categorization
MM '14: Proceedings of the 22nd ACM international conference on MultimediaPages 287–296https://doi.org/10.1145/2647868.2654937As an emerging research topic, fine-grained visual categorization has been attracting growing attentions in recent years. Due to the large inter-class similarity and intra-class variance, recognizing objects in fine-grained domains is extremely ...
- ArticleOctober 2006
Segmentation, categorization, and identification of commercial clips from TV streams using multimodal analysis
MM '06: Proceedings of the 14th ACM international conference on MultimediaPages 201–210https://doi.org/10.1145/1180639.1180697TV advertising is ubiquitous, perseverant, and economically vital. Millions of people's living and working habits are affected by TV commercials. In this paper, we present a multimodal ("visual + audio + text") commercial video digest scheme to segment ...