Directory of Experts

Pal, Christopher J.

Directory of Experts

Pal, Christopher J.

Directory of Experts

Publications by date

Journal article (22) Conference paper (68) Book (2) Book chapter (1) Patent Report Thesis Dataset (1) Teaching resource Image Audio recording Video recording Other

Christopher J. Pal (94)

2025 (4)
- Izquierdo-Verdiguier, E., Moreno-Martínez, Á., Stoy, P., Sonnentag, O., Pal, C. J., Kang, Y., Keenan, T., Desai, A. R., Metzger, S., Xiao, J., Fortier, M., Bassiouni, M., Ranjbar, S., Bower, S., Hoffman, S., Losos, D., & Clinton, N. (2025, April). BenchFlux: Advancing Nature-Based Climate Solutions through Scale-Aware CO₂ Flux Benchmarks [Abstract]. EGU General Assembly 2025, Vienna, Austria.
- Witten, I. H., Hall, M. A., Foulds, J. R., Frank, E., & Pal, C. J. (2025). Data Mining. (5th ed.).
- Rodríguez, J. A., Puri, A., Agarwal, S., Laradji, I., Rajeswar, S., Vázquez, D., Pal, C. J., & Pedersoli, M. (2025, February). StarVector: Generating Scalable Vector Graphics Code from Images and Text [Paper]. 39th AAAI Conference on Artificial Intelligence, Philadelphia, PA, USA. Published in Proceedings of the AAAI Conference on Artificial Intelligence, 39(28).
- Pernias, P., Rampas, D., Richter, M. L., Pal, C. J., & Aubreville, M. (2025, March). Würstchen [Abstract]. Bildverarbeitung für die Medizin 2025 (BVM 2025), Regensburg, Germany. Published in Informatik aktuell.
2024 (3)
- Rowe, L., Girgis, R., Gosselin, A., Carrez, B., Golemo, F., Heide, F., Paull, L., & Pal, C. J. (2024, November). CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning [Paper]. 8th Annual Conference on Robot Learning (CoRL 2024), Munich, Germany.
- Voleti, V., Finlay, C., Oberman, A., & Pal, C. J. (2024). Multi-resolution continuous normalizing flows. Annals of Mathematics and Artificial Intelligence, 23-23.
- Chamorro, S., Klemm, V., De La Iglesia Valls, M., Pal, C. J., & Siegwart, R. (2024, May). Reinforcement Learning for Blind Stair Climbing with Legged and Wheeled-Legged Robots [Paper]. 2024 IEEE International Conference on Robotics and Automation (ICRA 2024), Yokohama, Japan.
2023 (6)
- Krojer, B., Poole-Dayan, E., Voleti, V., Pal, C. J., & Reddy, S. (2023, December). Are Diffusion Models Vision-And-Language Reasoners? [Paper]. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA (21 pages).
- Pilault, J., Fathi, M., Firat, O., Pal, C. J., Bacon, P.-L., & Goroshin, R. (2023, December). Block-State Transformers [Paper]. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA (19 pages).
- Chen, C., Beckham, C., Liu, Z., Liu, X., & Pal, C. J. (2023, December). Parallel-mentoring for Offline Model-based Optimization [Paper]. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA (18 pages).
- Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., Lohöfer, F., Holch, J. W., Sommer, W., Hofmann, F., Hostettler, A., Lev-Cohain, N., Drozdzal, M., Amitai, M. M., Vivanti, R., ... Menze, B. (2023). The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Analysis, 84, 102680 (24 pages).
- Berseth, G., Golemo, F., & Pal, C. J. (2023). Towards Learning to Imitate from a Single Video Demonstration. Journal of Machine Learning Research, 24, 21-1174 (26 pages).
- Beckham, C., Weiss, M., Golemo, F., Honari, S., Nowrouzezahrai, D., & Pal, C. J. (2023). Visual question answering from another perspective: CLEVR mental rotation tests *. Pattern Recognition, 136, 109209 (12 pages).
2022 (7)
- Tesfaldet, M., Nowrouzezahrai, D., & Pal, C. J. (2022, November). Attention-based Neural Cellular Automata [Poster]. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA.
- Roy, J., Girgis, R., Romoff, J., Bacon, P.-L., & Pal, C. J. (2022, July). Direct Behavior Specification via Constrained Reinforcement Learning [Paper]. 39th International Conference on Machine Learning (ICML 2022), Baltimore, MD, USA.
- Girgis, R., Golemo, F., Codevilla, F., Weiss, M., D'Souza, J. A., Kahou, S. E., Heide, F., & Pal, C. J. (2022, April). Latent variable sequential set transformers for joint multi-agent motion prediction [Paper]. 10th International Conference on Learning Representations (ICLR 2022).
- Voleti, V., Jolicoeur-Martineau, A., & Pal, C. J. (2022, November). MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation [Presentation]. In 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA.
- Weiss, M., Rahaman, N., Locatello, F., Pal, C. J., Bengio, Y., Scholkopf, B., Ballas, N., & Li, L. E. (2022, November). Neural Attentive Circuits [Poster]. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA.
- Beckham, C., Laradji, I., Rodriguez, P., Vazquez, D., Nowrouzezahrai, D., & Pal, C. J. (2022, August). Overcoming challenges in leverage GANS for few-shots data augmentation [Poster]. 1st Conference on Lifelong Learning Agents (CoLLAs 2022), Montreal, QC, Canada.
- Voleti, V., Oreshkin, B., Bocquelet, F., Harvey, F., Ménard, L.-S., & Pal, C. J. (2022, December). SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows [Paper]. SIGGRAPH Asia 2022 Technical Communications, Daegu, Korea, Republic of (7 pages).
2021 (2)
- Pilault, J., El Hattami, A., & Pal, C. J. (2021, May). Conditionally adaptive multi-task learning: Improving transfer learning in nlp using fewer parameters & less data [Poster]. 9th International Conference on Learning Representations (ICLR 2021), Vienne, Austria.
- Bouteiller, Y., Ramstedt, S., Beltrame, G., Pal, C. J., & Binas, J. (2021, May). Reinforcement Learning with Random Delays [Poster]. 9th International Conference on Learning Representations (ICLR 2021).
2020 (10)
- Barde, P., Roy, J., Jeon, W., Pineau, J., Nowrouzezahrai, D., & Pal, C. J. (2020, December). Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization [Paper]. 34th Conference on Neural Information Processing Systems (NeurIPS 2020) (11 pages).
- Bengio, Y., Deleu, T., Rahaman, N., Ke, N. R., Lachapelle, S., Bilaniuk, O., Goyal, A., & Pal, C. J. (2020, April). A meta-transfer objective for learning to disentagle causal mechanisms [Paper]. 8th International Conference on Learning Representations (ICLR 2020), Addis Ababa, Ethiopia (27 pages).
- Yuan, X., Fu, J., Côté, M.-A., Tay, Y., Pal, C. J., & Trischler, A. (2020, July). Interactive Machine Comprehension with Information Seeking Agents [Paper]. 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020).
- Ibrahim, M. H., Pal, C. J., & Pesant, G. (2020). Leveraging cluster backbones for improving MAP inference in statistical relational models. Annals of Mathematics and Artificial Intelligence, 88(8), 907-949.
- Gontier, N., Sinha, K., Reddy, S., & Pal, C. J. (2020, December). Measuring systematic generalization in neural proof generation with transformers [Paper]. 34th Conference on Neural Information Processing Systems (NeurIPS 2020) (17 pages).
- Pilault, J., Li, R., Subramanian, S., & Pal, C. J. (2020, November). On extractive and abstractive neural document summarization with transformer language models [Paper]. Conference on Empirical Methods in Natural Language Processing (EMNLP 2020).
- Roy, J., Barde, P., Harvey, F. G., Nowrouzezahrai, D., & Pal, C. J. (2020, December). Promoting coordination through policy regularization in multi-agent deep reinforcement learning [Paper]. 34th Conference on Neural Information Processing Systems (NeurIPS 2020).
- Liu, D., Fu, J., Zhang, Y., Pal, C. J., & Lv, J. (2020, February). Revision in continuous space: Unsupervised text style transfer without adversarial learning [Paper]. 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, NY, USA.
- Harvey, F. G., Yurick, M., Nowrouzezahrai, D., & Pal, C. J. (2020). Robust motion in-betweening. ACM Transactions on Graphics, 39(4), 12 pages.
- Tay, Y., Ong, D., Fu, J., Chan, A., Chen, N. F., Tuan, L. A., & Pal, C. J. (2020, July). Would you rather? A new benchmark for learning machine alignment with cultural values and social preferences [Paper]. 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020).
2019 (11)
- Beckham, C., Honari, S., Lamb, A., Verma, V., Ghadiri, F., Hjelm, R. D., & Pal, C. J. (2019, May). Adversarial mixup resynthesizers [Paper]. Deep Generative Models for Highly Structured Data (DGS@ICLR 2019 Workshop), New Orleans, LA (20 pages).
- Hasan, M. K., & Pal, C. J. (2019). A new smooth approximation to the zero one loss with a probabilistic interpretation. ACM Transactions on Knowledge Discovery from Data, 14(1), 1-28.
- Vorontsov, E., Cerny, M., Régnier, P., Di Jorio, L., Pal, C. J., Lapointe, R., Vandenbroucke-Menu, F., Turcotte, S., Kadoury, S., & Tang, A. (2019). Deep learning for automated segmentation of liver lesions at cCT in patients with colorectal cancer liver metastases. Radiology: Artificial Intelligence, 1(2), 180014.
- Sankar, C., Subramanian, S., Pal, C. J., Chandar, S., & Bengio, Y. (2019, July). Do neural dialog systems use the conversation history effectively? An empirical study [Paper]. 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy.
- Yuan, X., Côté, M.-A., Fu, J., Lin, Z., Pal, C. J., Bengio, Y., & Trischler, A. (2019, November). Interactive language learning by question answering [Paper]. Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019), Hong Kong, China.
- Lim, J. H., Pinheiro, P. O., Rostamzadeh, N., Pal, C. J., & Ahn, S. (2019, December). Neural Multisensory Scene Inference [Paper]. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, B.-C..
- Beckham, C., Honari, S., Verma, V., Lamb, A., Ghadiri, F., Hjelm, R. D., Bengio, Y., & Pal, C. J. (2019, December). On adversarial mixup resynthesis [Paper]. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada.
- Piche, A., Thomas, V., Ibrahim, C., Bengio, Y., & Pal, C. J. (2019, May). Probabilistic planning with sequential Monte Carlo methods [Poster]. 7th International Conference on Learning Representations, New Orleans, Louisiana (8 pages).
- Ramstedt, S., & Pal, C. J. (2019, December). Real-Time Reinforcement Learning [Paper]. 33rd International Conference on Neural Information Processing Systems (NIPS 2019), Vancouver, British Columbia, Canada.
- Ramstedt, S., & Pal, C. J. (2019, December). Real-time reinforcement learning [Poster]. 33rd Annual Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, B.-C. (1 page).
- Weiss, M., Chamorro, S., Girgis, R., Luck, M., Kahou, S., Cohen, J., Nowrouzezahrai, D., Precup, D., Golemo, F., & Pal, C. J. (2019). Sidewalk Environment for Visual Navigation [Dataset].
2018 (14)
- Thong, W., Kadoury, S., Piche, N., & Pal, C. J. (2018). Convolutional networks for kidney segmentation in contrast-enhanced CT scans. Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization, 6(3), 277-282.
- Trabelsi, C., Bilaniuk, O., Zhang, Y., Serdyuk, D., Subramanian, S., Santos, J. F., Mehri, S., Rostamzadeh, N., Bengio, Y., & Pal, C. J. (2018, April). Deep complex networks [Paper]. 6th International Conference on Learning Representations (ICLR 2018), Vancouver, BC, Canada (19 pages).
- Ke, N. R., Zoma, K., Sordoni, A., Lin, Z., Trischler, A., Bengio, Y., Pineau, J., Charlin, L., & Pal, C. J. (2018, July). Focused hierarchical RNNs for conditional sequence processing [Paper]. 35th International Conference on Machine Learning (ICML 2018), Stockholm, Sweden.
- Honari, S., Molchanov, P., Tyree, S., Vincent, P., Pal, C. J., & Kautz, J. (2018, June). Improving Landmark Localization with Semi-Supervised Learning [Paper]. 31st Meeting of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, United states.
- Subramanian, S., Trischler, A., Bengio, Y., & Pal, C. J. (2018, April). Learning general purpose distributed sentence representations via large scale multitask learning [Paper]. 6th International Conference on Learning Representations (ICLR 2018), Vancouver, BC, Canada.
- Drozdzal, M., Chartrand, G., Vorontsov, E., Shakeri, M., Di Jorio, L., Tang, A., Romero, A., Bengio, Y., Pal, C. J., & Kadoury, S. (2018). Learning normalized inputs for iterative estimation in medical image segmentation. Medical Image Analysis, 44, 1-13.
- Vorontsov, E., Tang, A., Pal, C. J., & Kadoury, S. (2018, April). Liver lesion segmentation informed by joint liver segmentation [Paper]. 15th IEEE International Symposium on Biomedical Imaging (ISBI 2018), Washington, D.C..
- Harvey, F. G., Roy, J., Kanaa, D., & Pal, C. J. (2018). Recurrent semi-supervised classification and constrained adversarial generation with motion capture data. Image and Vision Computing, 78, 42-52.
- Harvey, F. G., & Pal, C. J. (2018, December). Recurrent transition networks for character locomotion [Paper]. SIGGRAPH Asia Technical Briefs, Tokyo, Japan.
- Ke, N. R., Goyal, A., Bilaniuk, O., Binas, J., Mozer, M. C., Pal, C. J., & Bengio, Y. (2018, December). Sparse attentive backtracking: Temporal credit assignment through reminding [Paper]. 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montréal, Canada (12 pages).
- Li, R., Kahou, S. E., Schulz, H., Michalski, V., Charlin, L., & Pal, C. J. (2018, December). Towards deep conversational recommendations [Paper]. 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montréal, Canada (11 pages).
- Subramanian, S., Rajeswar, S., Sordoni, A., Trischler, A., Courville, A., & Pal, C. J. (2018, December). Towards text generation with adversarially learned neural outlines [Paper]. 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montréal, Canada (13 pages).
- Serdyuk, D., Ke, N. R., Sordoni, A., Trischler, A., Pal, C. J., & Bengio, Y. (2018, April). Twin Networks: Matching the future for sequence generation [Paper]. 6th International Conference on Learning Representations (ICLR 2018), Vancouver, BC, Canada (12 pages).
- Moniz, J. R. A., Beckham, C., Rajotte, S., Honari, S., & Pal, C. J. (2018, December). Unsupervised depth estimation, 3D face rotation and replacement [Paper]. 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montréal, Canada (11 pages).
2017 (10)
- Havaei, M., Davy, A., Warde-Farley, D., Biard, A., Courville, A., Bengio, Y., Pal, C. J., Jodoin, P.-M., & Larochelle, H. (2017). Brain tumor segmentation with Deep Neural Networks. Medical Image Analysis, 35, 18-31.
- Witten, I. H., Frank, E., Hall, M. A., & Pal, C. J. (2017). Data mining. (4th ed.).
- Chartrand, G., Cheng, P. M., Vorontsov, E., Drozdzal, M., Turcotte, S., Pal, C. J., Kadoury, S., & Tang, A. (2017). Deep Learning: A Primer for Radiologists. RadioGraphics, 37(7), 2113-2131.
- Witten, I. H., Frank, E., Hall, M. A., & Pal, C. J. (2017). Extending instance-based and linear models. In Data Mining (pp. 243-284).
- Racah, E., Beckham, C., Maharaj, T., Kahou, S. E., Prabha, H., & Pal, C. J. (2017, December). Extreme weather : a large-scale climate dataset for semi-supervised detection, localization and understanding of extreme weather events [Paper]. 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA.
- Ibrahim, M.-H., Pal, C. J., & Pesant, G. (2017). Improving probabilistic inference in graphical models with determinism and cycles. Machine Learning, 106(1), 1-54.
- Rohrbach, A., Torabi, A., Rohrbach, M., Tandon, N., Pal, C. J., Larochelle, H., Courville, A., & Schiele, B. (2017). Movie description. International Journal of Computer Vision, 123(1), 94-120.
- Fu, J., Ng, R., Chen, D., Ilievski, I., Pal, C. J., & Chua, T.-S. (2017, August). Neural Optimizers with hypergradients for tuning parameter-wise learning rates [Paper]. Automatic Machine Learning Workshop (ICML 2017), Sydney, Australia (8 pages).
- Kahou, S. E., Michalski, V., Memisevic, R., Pal, C. J., & Vincent, P. (2017, July). RATM: Recurrent Attentive Tracking Model [Paper]. 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2017), Honolulu, HI, United states.
- Krueger, D., Maharaj, T., Kramar, J., Pezeshki, M., Ballas, N., Ke, N. R., Goyal, A., Bengio, Y., Courville, A., & Pal, C. J. (2017, April). Zoneout: Regularizing rNNs by randomly preserving hidden activations [Paper]. 5th International Conference on Learning Representations (ICLR 2017), Toulon, France (11 pages).
2016 (8)
- Maharaj, T., Ballas, N., Rohrbach, A., Courville, A., & Pal, C. J. (2016, July). A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering [Paper]. 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI.
- Ballas, N., Yao, L., Pal, C. J., & Courville, A. (2016, May). Delving deeper into convolutional networks for learning video representations [Paper]. 4th International Conference on Learning Representations (ICLR 2016), San Juan, Puerto Rico (11 pages).
- Ballas, N., Yao, L., Pal, C. J., & Courville, A. (2016, June). Delving Deeper into Convolution Networks for Learning Video Representation [Paper]. 10th IEEE Computer Society Workshop on Perceptual Organization in Computer Vision: The Role of Feedback in Recognition and Motion Perception (CVPR 2016), Las Vegas, Nevada (2 pages).
- Kahou, S. E., Bouthillier, X., Lamblin, P., Gülçehre, Ç., Michalski, V., Konda, K., Jean, S., Froumenty, P., Dauphin, Y., Boulanger-Lewandowski, N., Ferrari, R. C., Mirza, M., Warde-Farley, D., Courville, A., Vincent, P., Memisevic, R., Pal, C. J., & Bengio, Y. (2016). EmoNets: Multimodal deep learning approaches for emotion recognition in video. Journal on Multimodal User Interfaces, 10(2), 99-111.
- Vorontsov, E., Tang, A., Roy, D., Pal, C. J., & Kadoury, S. (2016). Metastatic liver tumour segmentation with a neural network-guided 3D deformable model. Medical & Biological Engineering & Computing, 55(1), 127-139.
- Honari, S., Yosinski, J., Vincent, P., & Pal, C. J. (2016, June). Recombinator networks: Learning coarse-to-fine feature aggregation [Paper]. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, United states.
- Harvey, F. G., & Pal, C. J. (2016, June). Semi-supervised Learning with Encoder-Decoder Recurrent Neural Networks: Experiments with Motion Capture Sequences [Paper]. 33rd International Conference on Machine Learning, New York, NY. Published in JMLR Workshop and Conference Proceedings, 48.
- Drozdzal, M., Vorontsov, E., Chartrand, G., Kadoury, S., & Pal, C. J. (2016, October). The Importance of Skip Connections in Biomedical Image Segmentation [Paper]. 2nd International Workshop on Deep Learning in Medical Image Analysis (DLMIA 2016), held in conjunction with MICCAI 2016, Athens, Greece.
2015 (7)
- Havaei, M., Dutil, F., Pal, C. J., Larochelle, H., & Jodoin, P.-M. (2015, October). A Convolutional Neural Network Approach to Brain Tumor Segmentation [Paper]. 1st International Workshop on Brain Lesion (BrainLes 2015), Munich, Germany.
- Yao, L., Torabi, A., Cho, K., Ballas, N., Pal, C. J., Larochelle, H., & Courville, A. (2015, December). Describing videos by exploiting temporal structure [Paper]. 15th IEEE International Conference on Computer Vision (ICCV 2015), Santiago, Chile.
- Ibrahim, M. H., Pal, C. J., & Pesant, G. (2015, January). Exploiting determinism to scale relational inference [Paper]. 29th AAAI Conference on Artificial Intelligence (AAAI 2015) and 27th Innovative Applications of Artificial Intelligence Conference (IAAI 2015), Austin, TX, United states. Published in Proceedings of the ... AAAI Conference on Artificial Intelligence, 29(1).
- Rim, D., Honari, S., Hasan, M. K., & Pal, C. J. (2015). Improving facial analysis and performance driven animation through disentangling identity and expression. Image and Vision Computing, 52, 125-140.
- Maier, O., Menze, B. H., der Gablentz, J. , Häni, L., Heinrich, M. P., Liebrand, M., Winzeck, S., Basit, A., Bentley, P., Chen, L., Christiaens, D., Dutil, F., Egger, K., Feng, C., Glocker, B., Götz, M., Haeck, T., Halme, H.-L., Havaei, M., ... Reyes, M. (2015, October). ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI [Paper]. Ischemic Stroke Lesion Segmentation (ISLES) challenge organized in conjunction with the MICCAI 2015 conference, Munich, Germany. Published in Medical Image Analysis, 35.
- Rim, D., Hasan, M. K., Puech, F., & Pal, C. J. (2015). Learning from weakly labeled faces and video in the wild. Pattern Recognition, 48(3), 759-771.
- Kahou, S. E., Michalski, V., Konda, K., Memisevic, R., & Pal, C. J. (2015, November). Recurrent Neural Networks for Emotion Recognition in Video [Paper]. 17th International Conference on Multimodal Interaction (ICMI 2015), Seattle, USA.
2014 (3)
- Bhole, C., Pal, C. J., Rim, D., & Wismüller, A. (2014). 3D segmentation of abdominal CT imagery with graphical models, conditional random fields and learning. Machine Vision and Applications, 25(2), 301-325.
- Hasan, M. K., & Pal, C. J. (2014, July). Experiments on visual information extraction with the faces of Wikipedia [Paper]. 28th AAAI Conference on Artificial Intelligence, Québec, Québec. Published in Proceedings of the ... AAAI Conference on Artificial Intelligence, 28(1).
- Kahou, S. E., Froumenty, P., & Pal, C. J. (2014, September). Facial expression analysis based on high dimensional binary features [Paper]. European Conference on Computer Vision (ECCV 2014), Zurich, Switzerland.
2013 (1)
- Kahou, S. E., Pal, C. J., Bouthillier, X., Froumenty, P., Gülçehre, Ç., Memisevic, R., Vincent, P., Courville, A., Bengio, Y., Ferrari, R. C., Mirza, M., Jean, S., Carrier, P.-L., Dauphin, Y., Boulanger-Lewandowski, N., Aggarwal, A., Zumer, J., Lamblin, P., Raymond, J.-P., ... Wu, Z. (2013, December). Combining modality specific deep neural networks for emotion recognition in video [Paper]. 15th ACM International Conference on Multimodal Interaction (ICMI 2013), Sydney, NSW, Australia.
2012 (2)
- Tran, L. C., Bal, C., Pal, C. J., & Nguyen, T. Q. (2012). On consistent inter-view synthesis for autostereoscopic displays. 3D Research, 3(1), 10 pages.
- Pal, C. J., Weinman, J. J., Tran, L. C., & Scharstein, D. (2012). On Learning Conditional Random Fields for Stereo: Exploring Model Structures and Approximate Inference. International Journal of Computer Vision, 99(3), 319-337.
2011 (4)
- Bhole, C., Morsillo, N., & Pal, C. J. (2011, September). 3D segmentation in CT imagery with conditional random fields and histograms of oriented gradients [Paper]. 2nd International Workshop on Machine Learning in Medical Imaging (MLMI 2011), Toronto, ON, Canada.
- Wei, B., & Pal, C. J. (2011, August). Heterogeneous transfer learning with RBMs [Paper]. 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference (AAAI 2011/IAAI 2011), San Francisco, CA, United states.
- Hasan, M. K., & Pal, C. J. (2011, September). Improving alignment of faces for recognition [Paper]. 9th IEEE International Symposium on Robotic and Sensors Environments (ROSE 2011), Montréal, Québec.
- Tran, L., Khoshabeh, R., Jain, A., Pal, C. J., & Nguyen, T. (2011, May). Spatially consistent view synthesis with coordinate alignment [Paper]. 36th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), Prague, Czech republic.
2010 (1)
- Tran, L. C., Pal, C. J., & Nguyen, T. Q. (2010, September). View synthesis based on conditional random fields and graph cuts [Paper]. 17th IEEE International Conference on Image Processing (ICIP 2010), Hong Kong.
2009 (1)
- Messing, R., & Pal, C. J. (2009, March). Behavior recognition in video with extended models of feature velocity dynamics [Paper]. AAAI Spring Symposium on Human Behavior Modeling, Stanford, CA, United states.

Directory of Experts

Pal, Christopher J.

Directory of Experts

Pal, Christopher J.

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Christopher J. Pal (94)