@article{LongdeMeloHeetal.2020,
  author    = {Long, Xiang and de Melo, Gerard and He, Dongliang and Li, Fu and Chi, Zhizhen and Wen, Shilei and Gan, Chuang},
  title     = {Purely attention based local feature integration for video classification},
  series = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume    = {44},
  journal   = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  number    = {4},
  publisher = {Inst. of Electr. and Electronics Engineers},
  address   = {Los Alamitos},
  issn      = {0162-8828},
  doi       = {10.1109/TPAMI.2020.3029554},
  pages     = {2140 -- 2154},
  year      = {2020},
  abstract  = {Recently, substantial research effort has focused on how to apply CNNs or RNNs to better capture temporal patterns in videos, so as to improve the accuracy of video classification. In this paper, we investigate the potential of a purely attention based local feature integration. Accounting for the characteristics of such features in video classification, we first propose Basic Attention Clusters (BAC), which concatenates the output of multiple attention units applied in parallel, and introduce a shifting operation to capture more diverse signals. Experiments show that BAC can achieve excellent results on multiple datasets. However, BAC treats all feature channels as an indivisible whole, which is suboptimal for achieving a finer-grained local feature integration over the channel dimension. Additionally, it treats the entire local feature sequence as an unordered set, thus ignoring the sequential relationships. To improve over BAC, we further propose the channel pyramid attention schema by splitting features into sub-features at multiple scales for coarse-to-fine sub-feature interaction modeling, and propose the temporal pyramid attention schema by dividing the feature sequences into ordered sub-sequences of multiple lengths to account for the sequential order. Our final model pyramidxpyramid attention clusters (PPAC) combines both channel pyramid attention and temporal pyramid attention to focus on the most important sub-features, while also preserving the temporal information of the video. We demonstrate the effectiveness of PPAC on seven real-world video classification datasets. Our model achieves competitive results across all of these, showing that our proposed framework can consistently outperform the existing local feature integration methods across a range of different scenarios.},
  language  = {en}
}
@article{RanRolandLoveetal.2017,
  author    = {Ran, Niva A. and Roland, Steffen and Love, John A. and Savikhin, Victoria and Takacs, Christopher J. and Fu, Yao-Tsung and Li, Hong and Coropceanu, Veaceslav and Liu, Xiaofeng and Bredas, Jean-Luc and Bazan, Guillermo C. and Toney, Michael F. and Neher, Dieter and Thuc-Quyen Nguyen,},
  title     = {Impact of interfacial molecular orientation on radiative recombination and charge generation efficiency},
  series = {Nature Communications},
  volume    = {8},
  journal   = {Nature Communications},
  publisher = {Nature Publ. Group},
  address   = {London},
  issn      = {2041-1723},
  doi       = {10.1038/s41467-017-00107-4},
  pages     = {9},
  year      = {2017},
  abstract  = {A long standing question in organic electronics concerns the effects of molecular orientation at donor/acceptor heterojunctions. Given a well-controlled donor/acceptor bilayer system, we uncover the genuine effects of molecular orientation on charge generation and recombination. These effects are studied through the point of view of photovoltaics-however, the results have important implications on the operation of all optoelectronic devices with donor/ acceptor interfaces, such as light emitting diodes and photodetectors. Our findings can be summarized by two points. First, devices with donor molecules face-on to the acceptor interface have a higher charge transfer state energy and less non-radiative recombination, resulting in larger open-circuit voltages and higher radiative efficiencies. Second, devices with donor molecules edge-on to the acceptor interface are more efficient at charge generation, attributed to smaller electronic coupling between the charge transfer states and the ground state, and lower activation energy for charge generation.},
  language  = {en}
}